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Hopfield net - A Hopfield net is a form of recurrent neural network invented by John Hopfield. Hopfield nets serve as content-addressable memory systems with binary threshold units.
Training set - In artificial intelligence, a training set consists of an input vector and an answer vector, and is used together with a supervised learning method to train a knowledge database (ie. a neural net) used by an AI machine.
Hugo de Garis - Hugo de Garis (born 1947, Sydney, Australia) is an associate professor of computer science at Utah State University. He is one of the more notable researchers in the sub-field of artificial intelligence known as evolvable hardware which involves evolving neural net circuits directly in hardware to build artificial brains.
Remote Bar Coding System - ... recognize a valid address on a letter, (usually due to hand-written addressing) it sends an image of the mailpiece to a central RBCS (RVE) site where more sophisticated optical character recognition software is able to interpret many hand-written addresses using neural net and fuzzy logic algorithms.
Neural Network FAQ - This FAQ from comp.ai.neural-nets contains the most commonly asked questions about neural networks, including some great introductory material.
Java library - Open source Java implementation of feed-forward neural nets: multi-layer perceptrons, generalized and modular feed-forward networks.
Neural Net Interactive - Reseller of Apple products. Secure online ordering in Canadian funds for the Canadian market.
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Applied Engineering Network Neural Science - Applied Engineering Network Neural Science Applied Neural Networks for Signal Processing by Fa-Long Luo, The use of neural networks in signal processing is ...
Opportunity Networking Mlm - ... professionals as well as engineers who are working on current circuit-switched and future networks. Fundamentals of Artificial Neural Networks by Mohamad H. Hassoun, X As book review editor of the "IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks ...
Applied Engineering Network Neural Science - Applied Engineering Network Neural Science Applied Neural Networks for Signal Processing by Fa-Long Luo, The use of neural networks in signal processing is ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Applied Engineering Network Neural Science - Applied Engineering Network Neural Science Applied Neural Networks for Signal Processing by Fa-Long Luo, The use of neural networks in signal processing is ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Opportunity Networking Mlm - ... professionals as well as engineers who are working on current circuit-switched and future networks. Fundamentals of Artificial Neural Networks by Mohamad H. Hassoun, X As book review editor of the "IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks ...
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