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Plausible Neural Networks for Biological Modelling (Paperback, Softcover reprint of the original 1st ed. 2001) Loot Price: R2,868
Discovery Miles 28 680
Plausible Neural Networks for Biological Modelling (Paperback, Softcover reprint of the original 1st ed. 2001): H. a....

Plausible Neural Networks for Biological Modelling (Paperback, Softcover reprint of the original 1st ed. 2001)

H. a. Mastebroek, J. E. Vos

Series: Mathematical Modelling: Theory and Applications, 13

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Loot Price R2,868 Discovery Miles 28 680 | Repayment Terms: R269 pm x 12*

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The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is also devoted to such tasks. As we shall see, this suggestion is false but does not do any harm as long as it is only the final performance of the algorithm which counts. Neural networks are also used in the modelling of the functioning of (sub systems in) the biological nervous system. It will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies)."

General

Imprint: Springer
Country of origin: Netherlands
Series: Mathematical Modelling: Theory and Applications, 13
Release date: October 2012
First published: 2001
Editors: H. a. Mastebroek • J. E. Vos
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Paperback
Pages: 262
Edition: Softcover reprint of the original 1st ed. 2001
ISBN-13: 978-9401038645
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Evolution
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
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LSN: 9401038643
Barcode: 9789401038645

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