The document presents a new model called GQA-BR for credit approval problems that uses a neuro-genetic system with quantum inspiration and binary-real representation. It describes the problem of credit approval classification and challenges in developing neural networks for it. The algorithm uses a quantum-inspired genetic algorithm that evolves both real-valued weights and binary representations. It applies the model to the Australian credit approval benchmark dataset, achieving accuracy comparable to other models but with more flexibility in parameters. While promising, more testing on other datasets is needed to fully evaluate the model.

1. Rio de Janeiro, 11 de Dezembro de 2009. A New Model for Credit Approval Problems: A Neuro-Genetic System with Quantum Inspiration and Binary-Real Representation Anderson Pinho, Marley Vellasco e André Vargas

33. “ Thanks! Obrigado!” André Vargas, Anderson Pinho and Marley Vellasco “ It is more by education than by instruction that we can transform the humanity ” Alan Kardec