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Data Mining - CSE5230 Neural Networks 1 CSE5230/DMS/2001/5
Lecture Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why study Neural Networks? - 1 ,[object Object],[object Object],[object Object],[object Object]
Why study Neural Networks? - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why study Neural Networks? - 3 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a neuron? - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is a neuron? - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object]
What is a neuron? - 3 ,[object Object],[object Object],[object Object],[object Object],[object Object]
What is a neural network? ,[object Object],Input layer Hidden layer Output layer
History of NNs - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
History of NNs - 2 ,[object Object],[object Object],[object Object],[object Object]
History of NNs - 3 ,[object Object],[object Object]
History of NNs - 4 ,[object Object],[object Object],[object Object],[object Object]
History of NNs - 5 ,[object Object],[object Object],[object Object],[object Object]
History of NNs - 6 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
History of NNs - 7 The Multilayered Back-Propagation Association Networks ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],History of NNs - 8 The Multilayered Back-Propagation Association Networks
[object Object],[object Object],[object Object],[object Object],History of NNs - 9 The Multilayered Back-Propagation Association Networks
[object Object],[object Object],[object Object],History of NNs - 10 The Multilayered Back-Propagation Association Networks
History of NNs - 11 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Applications of NNs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using a neural network for prediction - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using a neural network for prediction - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object]
An example ,[object Object],Living space Size of garage Age of house Heating type Other attributes Appraised value Neural network
Issues in choosing the training data set ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Preparing data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Illustrative Example - 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Illustrative Example - 2 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Illustrative Example - 3 ,[object Object],[object Object],AVEBAL TIMEAC SCORE Neural network
Illustrative Example - 4 Preparing the training and test data sets ,[object Object],[object Object],500 respondents + 500 non-respondents 1000 (training test) 500 respondents + 500 non-respondents 1000 (test test)
Illustrative Example - 5 Using the resultant network ,[object Object],[object Object],[object Object],[object Object]
Illustrative Example - 6
Illustrative Example - 7 ,[object Object],[object Object],[object Object]

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NEURAL NETWORKS

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