SlideShare uma empresa Scribd logo
1 de 24
Baixar para ler offline
Advancements in NMR Predictions-  Neural Network vs. HOSE Code Algorithms  Brent Lefebvre NMR Product Manager ACD/Labs’ ENC User’s Meeting April 21, 2007
New Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why Neural Networks? ,[object Object],[object Object],[object Object],[object Object]
Why Neural Networks? ,[object Object],[object Object],[object Object]
Realization ,[object Object],[object Object]
Implementation
Neural Network Algorithm
Implementation ,[object Object],[object Object],[object Object]
Neural Network Approach ,[object Object],[object Object],[object Object]
Neural Network Approach ,[object Object],[object Object]
Neural Network Approach ,[object Object],[object Object],[object Object],[object Object],[object Object]
Using the Neural Network Predictions ,[object Object]
Using the Neural Network Predictions
Using the Neural Network Predictions
Limitations of the Neural Network Predictions ,[object Object],[object Object],[object Object],[object Object]
Statistics ,[object Object],[object Object],[object Object]
Prediction Accuracy ,[object Object],[object Object],[object Object],[object Object]
L-O-O Analysis Version 8.00 Version 10.05
Prediction Accuracy ,[object Object]
Prediction Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Prediction Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Future of Neural Nets ,[object Object],[object Object]
The Future of Neural Nets ,[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Destaque

skip hire Belfast
 skip hire  Belfast  skip hire  Belfast
skip hire Belfast youngmaxen
 
3.2 session 29 einheit 5
3.2 session 29 einheit 53.2 session 29 einheit 5
3.2 session 29 einheit 5nblock
 
3.1 session 28 einheit 5
3.1 session 28 einheit 53.1 session 28 einheit 5
3.1 session 28 einheit 5nblock
 
SUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MINING
SUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MININGSUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MINING
SUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MININGZac Darcy
 
Area of-rectangles
Area of-rectanglesArea of-rectangles
Area of-rectangleserma tagulao
 
7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...
7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...
7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...Дмитро Загура
 
Sortida de les caves codorniu.(1)
Sortida de les caves codorniu.(1)Sortida de les caves codorniu.(1)
Sortida de les caves codorniu.(1)Raul Mancebo
 

Destaque (11)

skip hire Belfast
 skip hire  Belfast  skip hire  Belfast
skip hire Belfast
 
3.2 session 29 einheit 5
3.2 session 29 einheit 53.2 session 29 einheit 5
3.2 session 29 einheit 5
 
3.1 session 28 einheit 5
3.1 session 28 einheit 53.1 session 28 einheit 5
3.1 session 28 einheit 5
 
SUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MINING
SUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MININGSUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MINING
SUPERVISED LEARNING MODEL FOR KICKSTARTER CAMPAIGNS WITH R MINING
 
Area of-rectangles
Area of-rectanglesArea of-rectangles
Area of-rectangles
 
Los ríos
Los ríosLos ríos
Los ríos
 
7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...
7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...
7 клас. Морзе. Урок 1. Поняття служба Інтернету. Електронна скринька та елект...
 
Long term payday loans
Long term payday loansLong term payday loans
Long term payday loans
 
EE281FINALREPORT
EE281FINALREPORTEE281FINALREPORT
EE281FINALREPORT
 
Sortida de les caves codorniu.(1)
Sortida de les caves codorniu.(1)Sortida de les caves codorniu.(1)
Sortida de les caves codorniu.(1)
 
Marks Resume 17
Marks Resume 17Marks Resume 17
Marks Resume 17
 

Semelhante a Enc07 Neutral Network Algorithms 070420

Issues in AI product development and practices in audio applications
Issues in AI product development and practices in audio applicationsIssues in AI product development and practices in audio applications
Issues in AI product development and practices in audio applicationsTaesu Kim
 
Edal an energy efficient, delay-aware, and lifetime-balancing data collection...
Edal an energy efficient, delay-aware, and lifetime-balancing data collection...Edal an energy efficient, delay-aware, and lifetime-balancing data collection...
Edal an energy efficient, delay-aware, and lifetime-balancing data collection...LogicMindtech Nologies
 
Network Intrusion Detection (1)-converted-1.pptx
Network Intrusion Detection (1)-converted-1.pptxNetwork Intrusion Detection (1)-converted-1.pptx
Network Intrusion Detection (1)-converted-1.pptxSubhrajyotiPayra
 
JPJ1404 Building Confidential And Efficient Query Services In The Cloud Wit...
JPJ1404   Building Confidential And Efficient Query Services In The Cloud Wit...JPJ1404   Building Confidential And Efficient Query Services In The Cloud Wit...
JPJ1404 Building Confidential And Efficient Query Services In The Cloud Wit...chennaijp
 
Comparison of papers NN-filter
Comparison of papers NN-filterComparison of papers NN-filter
Comparison of papers NN-filtersaman shaheen
 
IRJET- A Survey on Medical Image Interpretation for Predicting Pneumonia
IRJET- A Survey on Medical Image Interpretation for Predicting PneumoniaIRJET- A Survey on Medical Image Interpretation for Predicting Pneumonia
IRJET- A Survey on Medical Image Interpretation for Predicting PneumoniaIRJET Journal
 
CLC bio presentation at 5th SFAF 6/3/2010
CLC bio presentation at 5th SFAF 6/3/2010CLC bio presentation at 5th SFAF 6/3/2010
CLC bio presentation at 5th SFAF 6/3/2010Saul Kravitz
 
OPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGY
OPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGYOPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGY
OPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGYMohammaderfan Arefimoghaddam
 
Optalysys Optical Processing for HPC
Optalysys Optical Processing for HPCOptalysys Optical Processing for HPC
Optalysys Optical Processing for HPCinside-BigData.com
 
Detecting Discontinuties in Large Scale Systems
Detecting  Discontinuties in Large Scale SystemsDetecting  Discontinuties in Large Scale Systems
Detecting Discontinuties in Large Scale Systemsharoonmalik786
 
Hw09 Protein Alignment
Hw09   Protein AlignmentHw09   Protein Alignment
Hw09 Protein AlignmentCloudera, Inc.
 
IRJET- Extension to Visual Information Narrator using Neural Network
IRJET- Extension to Visual Information Narrator using Neural NetworkIRJET- Extension to Visual Information Narrator using Neural Network
IRJET- Extension to Visual Information Narrator using Neural NetworkIRJET Journal
 
Networking for java and dotnet 2016 - 17
Networking for java and dotnet 2016 - 17Networking for java and dotnet 2016 - 17
Networking for java and dotnet 2016 - 17redpel dot com
 
NERC v6.0 for ESM Release Notes
NERC v6.0 for ESM Release NotesNERC v6.0 for ESM Release Notes
NERC v6.0 for ESM Release Notesprotect724rkeer
 
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...gerogepatton
 
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...ijaia
 
Configuration Optimization for Big Data Software
Configuration Optimization for Big Data SoftwareConfiguration Optimization for Big Data Software
Configuration Optimization for Big Data SoftwarePooyan Jamshidi
 
IRJET- Hand Sign Recognition using Convolutional Neural Network
IRJET- Hand Sign Recognition using Convolutional Neural NetworkIRJET- Hand Sign Recognition using Convolutional Neural Network
IRJET- Hand Sign Recognition using Convolutional Neural NetworkIRJET Journal
 
A Hierarchical Feature Set optimization for effective code change based Defec...
A Hierarchical Feature Set optimization for effective code change based Defec...A Hierarchical Feature Set optimization for effective code change based Defec...
A Hierarchical Feature Set optimization for effective code change based Defec...IOSR Journals
 
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...IEEEGLOBALSOFTSTUDENTPROJECTS
 

Semelhante a Enc07 Neutral Network Algorithms 070420 (20)

Issues in AI product development and practices in audio applications
Issues in AI product development and practices in audio applicationsIssues in AI product development and practices in audio applications
Issues in AI product development and practices in audio applications
 
Edal an energy efficient, delay-aware, and lifetime-balancing data collection...
Edal an energy efficient, delay-aware, and lifetime-balancing data collection...Edal an energy efficient, delay-aware, and lifetime-balancing data collection...
Edal an energy efficient, delay-aware, and lifetime-balancing data collection...
 
Network Intrusion Detection (1)-converted-1.pptx
Network Intrusion Detection (1)-converted-1.pptxNetwork Intrusion Detection (1)-converted-1.pptx
Network Intrusion Detection (1)-converted-1.pptx
 
JPJ1404 Building Confidential And Efficient Query Services In The Cloud Wit...
JPJ1404   Building Confidential And Efficient Query Services In The Cloud Wit...JPJ1404   Building Confidential And Efficient Query Services In The Cloud Wit...
JPJ1404 Building Confidential And Efficient Query Services In The Cloud Wit...
 
Comparison of papers NN-filter
Comparison of papers NN-filterComparison of papers NN-filter
Comparison of papers NN-filter
 
IRJET- A Survey on Medical Image Interpretation for Predicting Pneumonia
IRJET- A Survey on Medical Image Interpretation for Predicting PneumoniaIRJET- A Survey on Medical Image Interpretation for Predicting Pneumonia
IRJET- A Survey on Medical Image Interpretation for Predicting Pneumonia
 
CLC bio presentation at 5th SFAF 6/3/2010
CLC bio presentation at 5th SFAF 6/3/2010CLC bio presentation at 5th SFAF 6/3/2010
CLC bio presentation at 5th SFAF 6/3/2010
 
OPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGY
OPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGYOPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGY
OPTIMIZING NEURAL NETWORK PARAMETERS USING EVOLUTION STRATEGY
 
Optalysys Optical Processing for HPC
Optalysys Optical Processing for HPCOptalysys Optical Processing for HPC
Optalysys Optical Processing for HPC
 
Detecting Discontinuties in Large Scale Systems
Detecting  Discontinuties in Large Scale SystemsDetecting  Discontinuties in Large Scale Systems
Detecting Discontinuties in Large Scale Systems
 
Hw09 Protein Alignment
Hw09   Protein AlignmentHw09   Protein Alignment
Hw09 Protein Alignment
 
IRJET- Extension to Visual Information Narrator using Neural Network
IRJET- Extension to Visual Information Narrator using Neural NetworkIRJET- Extension to Visual Information Narrator using Neural Network
IRJET- Extension to Visual Information Narrator using Neural Network
 
Networking for java and dotnet 2016 - 17
Networking for java and dotnet 2016 - 17Networking for java and dotnet 2016 - 17
Networking for java and dotnet 2016 - 17
 
NERC v6.0 for ESM Release Notes
NERC v6.0 for ESM Release NotesNERC v6.0 for ESM Release Notes
NERC v6.0 for ESM Release Notes
 
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
 
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
CPU HARDWARE CLASSIFICATION AND PERFORMANCE PREDICTION USING NEURAL NETWORKS ...
 
Configuration Optimization for Big Data Software
Configuration Optimization for Big Data SoftwareConfiguration Optimization for Big Data Software
Configuration Optimization for Big Data Software
 
IRJET- Hand Sign Recognition using Convolutional Neural Network
IRJET- Hand Sign Recognition using Convolutional Neural NetworkIRJET- Hand Sign Recognition using Convolutional Neural Network
IRJET- Hand Sign Recognition using Convolutional Neural Network
 
A Hierarchical Feature Set optimization for effective code change based Defec...
A Hierarchical Feature Set optimization for effective code change based Defec...A Hierarchical Feature Set optimization for effective code change based Defec...
A Hierarchical Feature Set optimization for effective code change based Defec...
 
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
IEEE 2014 JAVA NETWORK SECURITY PROJECTS Fault tolerant network interfaces fo...
 

Último

Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 

Último (20)

Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 

Enc07 Neutral Network Algorithms 070420

Notas do Editor

  1. Speed is not much of an advantage for someone doing one calculation at a time, but is of tremendous benefit to those who need to do batch calculations for many structures
  2. Speed is not much of an advantage for someone doing one calculation at a time, but is of tremendous benefit to those who need to do batch calculations for many structures
  3. The structure of a simple neural net. The input layer is fed with N inputs, then the values are transformed by the hidden layer and the output neuron produces the final output value.
  4. The hierarchical structure of the input vectors used in the current study. Spheres are numbered with Roman numerals, each consisting of 32 cells filled with counts of the substituents. The third sphere is expanded into three to take into account the double bond geometry. CI stands for “Cross-Increments”. These are additional inputs used for the rules-based calculations.
  5. Screen shot series of accessing Neural Network Predictions in v10
  6. Screen shot series of accessing Neural Network Predictions in v10