High Dimensional Neurocomputing (Record no. 52212)
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000 -LEADER | |
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fixed length control field | 03058nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-81-322-2074-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420220226.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 141105s2015 ii | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9788132220749 |
-- | 978-81-322-2074-9 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Tripathi, Bipin Kumar. |
245 10 - TITLE STATEMENT | |
Title | High Dimensional Neurocomputing |
Sub Title | Growth, Appraisal and Applications / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIX, 165 p. 49 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Computational Intelligence, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Neuro-Computing with High Dimensional Parameters -- Neuro-Computing in Complex Domain -- Higher Order Computational Model of Novel Neurons -- Neuro-Computing in Space -- High Dimensional Mapping -- Machine Recognition for Biometric Application in Complex Domain. |
520 ## - SUMMARY, ETC. | |
Summary, etc | The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-81-322-2074-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | New Delhi : |
-- | Springer India : |
-- | Imprint: Springer, |
-- | 2015. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biometrics (Biology). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Neural networks (Computer science). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern Recognition. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical Models of Cognitive Processes and Neural Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biometrics. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1860-949X ; |
912 ## - | |
-- | ZDB-2-ENG |
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