Credit Scoring Model Based on Back Propagation Neural Network Using Various Activation and Error Function

摘要

The Back Propagation algorithm of Neural Networks is a widely used learning technique for training a multi layered perceptron network. The algorithm applies error propagation from outputs to inputs and gradually fine tunes the network weights to minimize