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Neural Network Sample Application

		MLP/X 5.0
		Neural Network ActiveX Control and COM Object

This shows some sample applications built with MLP/X. The full source code is supplied with MLP/X so you can see how easy it is to use our control.

The example provided gives the solution to 3 well known problems:

XOR
Two-Spirals Problem
Mackey-Glass Time Series Prediction

We have shown exactly how to set up the problems in the source code and just how easy it is to solve them using MLP/X. In each case it is possible to use either backpropagation or the MEKA algorithm to obtain the solution. Repeatedly pressing the Run MLP button allows you to continue training a model and see further learning improvement.

This application was built using Visual Basic but it could just as easily have been built with C++, C# or Delphi. The processing takes just one line of code to implement, the rest of the application is for the GUI and data display. You are free to use this source code as part of your application if you purchase MLP/X.

The same application was implemented in Excel using VBA, a screen shot is shown below. The full source for this application is included with the component. Each of the example problems can be solved by making a few changes in the code.

Copyright © 2001-2016 by Windale Technologies, Pty Ltd. All Rights Reserved. Software GUI design, and site contents are protected by US and International Copyright Laws and may not be duplicated by any means without the express permission of Windale Technologies. Patent Pending 60/945347. Disclaimer and Risk Statement: Futures and options trading involve substantial risk. The valuation of futures and options may fluctuate, and as a result, clients may lose more than their original investment. In no event should the content of this web site, the results obtained from using software provided by us, or the content of the source code sample applications be construed as an express or an implied guarantee by Windale Technologies that you will profit or that losses can or will be limited in any manner whatsoever. Past results are no indication of future performance. Information provided is intended solely for informative purposes only. Please refer to our Terms of Service for more detailed information.