Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training

The Application of Combined Fuzzy Clustering Model and Neural Networks to Measure Valuably of Bank Customers

Currently, acquisition of resources in banks is subject to attraction of the resources of banking customers. Meanwhile, the Bank’s valuable customers are one of the best resources to make profit for banks. Several different models are introduced for evaluation of profitability of the customers; but most of them are classical models and they are unable to evaluate the customers in complete and o...

The Application of Combined Fuzzy Clustering Model and Neural Networks to Measure Valuably of Bank Customers

Currently, acquisition of resources in banks is subject to attraction of the resources of banking customers. Meanwhile, the Bank’s valuable customers are one of the best resources to make profit for banks. Several different models are introduced for evaluation of profitability of the customers; but most of them are classical models and they are unable to evaluate the customers in complete and o...

Training Artificial Neural Networks for Fuzzy Logic

P roblems requiring inferencing with Boolean logic have been implemented in percept rons or feedforward networks, and some attempts have been made to implement fuzzy logic based inferencing in similar networks. In this pap er, we present producti ve networks , which are art ificial neur al networks, meant for fuzzy logic based inferencing. The nod es in t hese networks collect an offset product...

Applying Bacterial Memetic Algorithm for Training Feedforward and Fuzzy Flip-Flop based Neural Networks

In our previous work we proposed some extensions of the Levenberg-Marquardt algorithm; the Bacterial Memetic Algorithm and the Bacterial Memetic Algorithm with Modified Operator Execution Order for fuzzy rule base extraction from inputoutput data. Furthermore, we have investigated fuzzy flip-flop based feedforward neural networks. In this paper we introduce the adaptation of the Bacterial Memet...

Conjugate gradient algorithm for training neural networks