Neural network - Wikipedia, the free encyclopedia
Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons<sup class="noprint Template-Fact" title="This claim needs references to reliable sources{{...
en.wikipedia.org/wiki/Neural_network
Artificial neural network - Wikipedia, the free encyclopedia
An artificial neural network (ANN) , usually called "neural network" (NN), is a mathematical model or computational model that tries to simulate the structure and/or functional aspects of biological...
en.wikipedia.org/wiki/Artificial_neural_network
Many second-rate books treat neural nets as mysterious black boxes, but Reed and Marks open up the box and provide genuine insight into the way neural nets work. One problem with the book is that the terms "validation set" and "test set" are used inconsistently.
www.faqs.org/faqs/ai-faq/neural-nets/part4/section-1.ht... www.faqs.org/faqs/ai-faq/neural-nets/part4/section-1.html
Last Posted: 30 Dec 2002 20:49:21 GMT; Last-modified: 2002-05-17 ... Last Posted: 30 Dec 2002 21:06:17 GMT; Last-modified: 2002-10-11 ... Last Posted: 30 Dec 2002 21:23:08 GMT; Last-modified: 2001-05-21...
www.faqs.org/faqs/ai-faq/neural-nets/ www.faqs.org/faqs/ai-faq/neural-nets/
Although learning in these nets can be slow, running the trained net is very fast - even on a computer simulation of a neural net. Kohonen clustering Algorithm: - takes a high-dimensional input, and clusters it, but retaining some topological ordering of the output.
www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html
Computing Partial Functions and Fractal Decision Boundaries with Efficient Spiking Neural Nets (PDF); ... A paper detailing a neural network model similar to standard spiking neural networks which does not require numerical integration. Source code included. ... A look at groupings of multiple backpropagation neural nets...
www.generation5.org/articles.asp?Action=List&Topic=Neur... www.generation5.org/articles.asp?Action=List&Topic=Neural%20Networks
The pixel data, extracted from the image using Canvas, is fed into the neural network in an attempt to divine the exact characters being used - in a sort of crude form of Optical Character Recognition (OCR).
ejohn.org/blog/ocr-and-neural-nets-in-javascript/ ejohn.org/blog/ocr-and-neural-nets-in-javascript/
The "Frequently asked Questions" (FAQ) file of the Usenet newsgroup comp.ai.neural-nets has moved. ... I (Lutz Prechelt) was its maintainer since December 1995, when Warren Sarle took it over. I still have the old version as of December 1995 here locally, but you will probably want to visit the current version as maintained...
wwwipd.ira.uka.de/~prechelt/FAQ/neural-net-faq.html wwwipd.ira.uka.de/~prechelt/FAQ/neural-net-faq.html
This is a glossary of terms that can help you understand the literature on neural nets. Some of the mathematical symbols may not display properly on this page. For clarification on them, take a look at the glossary section in Feedforward Neural Networks With Constrained Weights PDF...
www.altafkhan.com/ib/neural-nets-glossary.htm www.altafkhan.com/ib/neural-nets-glossary.htm
retrain your brain, create new neural pathways ... You're aware of the fact that in order to make the changes you desire, you need to change your thoughts and beliefs. ... Make small changes, take the baby steps. This will build confidence and soon you will be making huge strides.  Who knows, you may even come to embrace change.
www.newneuralnets.com/ www.newneuralnets.com/