From codeproject.com
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Neural networks
A community portal about Neural networks with blogs, videos, and photos. According to Wikipedia.org: A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected... [more]
A community portal about Neural networks with blogs, videos, and photos. According to Wikipedia.org: A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected processing elements called neurons that work together to produce an output function. The output of a neural network relies on the cooperation of the individual neurons within the network to operate. Processing of information by neural networks is often done in parallel rather than in series. Since it relies on its member neurons collectively to perform its function, a unique property of a neural network is that it can still perform its overall function even if some of the neurons are not functioning. That is, they are very robust to error or failure.
This article will explain the actual concepts and implementation of Backward Propagation Neural Networks very easily - see project code and samples, like a simple pattern detector, a hand writing detection pad, an xml based neural network processing language etc in the source zip.
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