Neural network model for classification algorithms and its application

Neural Network-based systems that allow the system,through an analysis of historical data to determine the relationship between account characteristics and the probability of default. The backpropagation algorithm - the multilayer feedforward network structure is described based on data with nine fiancial ratios from 81 firms listed in china, A simulation on network is made. Neural Network model for classification algorithms are established. By varying Network Parameters we demonstrate that LevenbergMarque training error is smallest among 4 learning algorithms and its performance is better. Increasing the number of hidden layer can result in minor improvement.