Need Matlab programmer for the project of Stock Market Prediction System
A neural network approach for predicting stock market performance using hybrid Radial Basis Function network (fuzzy logic). Here I have already compared the performance of mlp & rbf but these two methods are already existing now. I want to make a hybridization of rbf through fuzzy logic. I want to make the performance best by training & testing data sets of Google market or yahoo stock or others.. so at first load a data set & implement it and try to make some better performance, that's all. So you need to make stock market prediction using Radial Basis function and fuzzy network combination. I've tested it particularly through RBF & Fuzzy to get the performance using google dataset. But a hybridization is needed to get best performance that'll include RBF+Fuzzy...Just measure performance through the training & testing through matlab toolboxes.. but stock market conditions have to be maintained in code implementation.