The data set is categorical values, I had implemented a Java based Neural Network(NN) working on back propagation. As a self interest, I would like to check the network prediction efficiency with alternates. Specifically, I am looking for a Radial basis function (working on KModal) based NN which can work on categorical data prediction, even a C++ equivalent sample code would suffice. Further infomration can be given on request.
1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done.
2) Deliverables must be in ready-to-run condition, as follows (depending on the nature of the deliverables):
a) For web sites or other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment.
b) For all others including desktop software or software the buyer intends to distribute: A software installation package that will install the software in ready-to-run condition on the platform(s) specified in this bid request.
3) All deliverables will be considered "work made for hire" under U.S. Copyright law. Buyer will receive exclusive and complete copyrights to all work purchased. (No GPL, GNU, 3rd party components, etc. unless all copyright ramifications are explained AND AGREED TO by the buyer on the site per the coder's Seller Legal Agreement).
I am working on MS Windows 2000 based Java environment and the data set is all ready for assimilation as binary (equivalent for the categorical variable).