[PDF.27sw] An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)

An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)

[PDF.ow29] An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)

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 |  1992-10-29 |  1992-10-29 | File type: PDF

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|| |"...a beginning graduate-level text that discusses a wide range of neural network models and algorithms: simulated annealing, Aleksander's model, Boltzmann machine, perceptron, backpropagation, Hopfield's models, self-organization, and others. It may be especi

This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers. The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to ...

You easily download any file type for your device.An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical Physics)   |  Pierre Peretto. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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