NEURAL NETWORK WebLOGA guide about artificial neural networks, deep explanations about neural network biological models and mathematical models, complete explanations about neural network training models and algorithms..
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press and announcements relatedNEURAL NETWORK WebLOG300200NeuroXL Classifier neural network software
Regarding to data organization, a good classification is always needed. By default, Microsoft Excel is our main software for data clustering. However, there are some occasions in which our data need to be classified. This used to happen during data recollection when our collecting system does not work as an organization system. On most of the cases, we have to hire extra people to organize this data.... Read more
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Neuroph - Java Neural Network
Neuroph is a Java application multiplatform designed for the implementation and design of artificial neural networks as well for pattern training. The project is part of the GNU license of free software part of SourceForge community designed by Neuroph.... Read more
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XML based neural network processing language
While surfing the Internet I found an interesting utility: A Neural network trainer based on XML. The system is quite useful because the portability of the language and generally you don�t need deep knowledge about neural networks.... Read more
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Hopfield simulator
A couple of years ago while I was learning about the Hopfield neural network, I found an useful resource on the web. It is kind of a simulator for image recognition written in C++ using Visual Studio 6, but I think it can be compiled using any C compiler.... Read more
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Sharky Neural Network software from SharkTime
Today I received an Email from software developer of SharkTime.com, and as hundreds of emails I receive daily; I finally receive something worthy to share with my readers. This is Sharky Neural Network, software that allows you to play with neural network development.... Read more
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Artificial Neural Networks and their Role in Our Lives
By Andrew Ziegelstein Formations of artificial neural networks completely alter the progression of human thought.Artificial neural networks (ANNs) represent models of information processors that resemble biological neural networks.While ANNs provide individuals more efficient ways of processing data, adverse results occur if machines interfere with human cognition.Development of artificial neural networks remains a fascinating element of scientific discovery, but this innovation brings about revolutionary changes that benefit and harm development of individuals� intelligence.... Read more
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