By Thierry.Lefort
via codeproject.com
Published: Jul 29 2008 / 16:48
This article will explain the actual concepts of Backward Propagation Neural Networks - in such a way that even a person with zero knowledge in neural networks can understand the required theory and concepts very easily. The related project demonstrates the designing and implementation of a fully working 'BackProp' Neural Network library, i.e, the Brain Net library as I call it. You can find the theory, illustration and concepts here - along with the explanation of the neural network library project - in this article. Also, find the full source code of the library and related demo projects (a simple pattern detector, a hand writing detection pad, an xml based neural network processing language etc) in the associated zip file.
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