Recurrent Neural Networks /

Recurrent Neural Networks / / edited by Xiaolin Hu and P. Balasubramaniam.

The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. T...

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TeilnehmendeR:
Balasubramaniam, P ,
Hu, Xiaolin,
Place / Publishing House:Croatia : : IntechOpen,, 2008.
Year of Publication:2008
Language:English
Physical Description:1 online resource (402 pages)
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spelling Hu, Xiaolin edt
Recurrent Neural Networks / edited by Xiaolin Hu and P. Balasubramaniam.
IntechOpen 2008
Croatia : IntechOpen, 2008.
1 online resource (402 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on: online resource; title from PDF information screen (Intech, viewed October 14, 2022).
The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints.
English
Neural networks (Computer science)
Artificial intelligence.
Neural networks & fuzzy systems
Balasubramaniam, P , editor.
Hu, Xiaolin, editor.
953-7619-08-7
language English
format eBook
author2 Balasubramaniam, P ,
Hu, Xiaolin,
author_facet Balasubramaniam, P ,
Hu, Xiaolin,
author2_variant x h xh
p b pb
x h xh
author2_role TeilnehmendeR
TeilnehmendeR
title Recurrent Neural Networks /
spellingShingle Recurrent Neural Networks /
title_full Recurrent Neural Networks / edited by Xiaolin Hu and P. Balasubramaniam.
title_fullStr Recurrent Neural Networks / edited by Xiaolin Hu and P. Balasubramaniam.
title_full_unstemmed Recurrent Neural Networks / edited by Xiaolin Hu and P. Balasubramaniam.
title_auth Recurrent Neural Networks /
title_new Recurrent Neural Networks /
title_sort recurrent neural networks /
publisher IntechOpen
IntechOpen,
publishDate 2008
physical 1 online resource (402 pages)
isbn 953-51-5795-7
953-7619-08-7
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.87 R438 42008
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.32
dewey-sort 16.32
dewey-raw 006.32
dewey-search 006.32
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author2_original_writing_str_mv noLinkedField
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