Enterprise Credit Rating Based on Genetic Neural Network

Municipal credit rating modelling by neural networks

Modelling credit rating by fuzzy adaptive network

Human judgment plays an important role in the rating of enterprise financial conditions. The recently developed fuzzy adaptive network (FAN), which can handle systems whose behaviour is influenced by human judgment, appears to be ideally suited for the modelling of this credit rating problem. In this paper, FAN is used to model the credit rating of small financial enterprises. To illustrate the...

a trust-based credit scoring model using neural network

credit decisions are extremely vital for any type of financial institution because it can stimulate huge financial losses generated from defaulters. credit scoring models are decision support systems that take a set of predictor variables as input and provide a score as output and creditors use these models to justify who will get credit and who will not. many different credit scoring models ha...

A Fuzzy CMAC Neural Network Model Based on Credit Assignment

In order to improve online learning speed and accuracy of CMAC, a fuzzy CMAC neural network model based on credit assignment concept is designed. In the conventional CMAC and fuzzy CMAC learning scheme, the corrected amounts of errors are equally distributed into all addressed hypercubes, regardless of the credibility of those hypercubes values. The proposed improved learning approach is to use...

The hybrid approach based on genetic algorithm and neural network to predict financial fraud in banks

Audit has become an essential topic in the world because there is much evidence about deliberate manipulations in the reports. One of the concerns in the field of audit is discovery and search of the financial statements and the high volume of bulk data. This study tried to suggest the appropriate method to detect these frauds due to the data which has been available and a proposed algorithm. R...