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Contains 46 papers and posters from a December 1998 symposium. Subjects include improving back-propagation with sliding mode control, learnability in sequential RAM-based neural networks, unsupervised neural network learning for blind sources separation, optimizations of the combinatorial neural model, extracting rules from feedforward Boolean neural networks, factor semantics for document retrieval, and artificial neural networks applied to theoretical chemistry. No index. Annotation copyrighted by Book News, Inc., Portland, OR.

Neural computers

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Neural computers --- Molecular computers

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Cognitive Computing (CC) is a cutting edge paradigm of intelligent computing methodologies and systems based on cognitive informatics, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain CC not only synergize theories of modern information science, computer science, communication theories, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software science, knowledge science, cognitive robots, cognitive linguistics, and life science, but also promote novel applications in cognitive computers, cognitive communications, computational intelligence, cognitive robots, cognitive systems, and the AI, IT, and software industries.

Computational intelligence --- Neural computers

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"Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems."

Neural computers --- Automatic control

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Neuromorphics. --- Neural computers.