Learning and soft computing : (Record no. 72951)
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000 -LEADER | |
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fixed length control field | 02845nam a2200517 i 4500 |
001 - CONTROL NUMBER | |
control field | 6267294 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220712204622.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 151224s2001 maua ob 001 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780262256513 |
-- | electronic |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | alk. paper |
082 00 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Kecman, V. |
245 10 - TITLE STATEMENT | |
Title | Learning and soft computing : |
Sub Title | support vector machines, neural networks, and fuzzy logic models / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 PDF (xxxii, 541 pages) : |
490 1# - SERIES STATEMENT | |
Series statement | Complex adaptive systems |
500 ## - GENERAL NOTE | |
Remark 1 | "A Bradford book." |
520 ## - SUMMARY, ETC. | |
Summary, etc | This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available. |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267294 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cambridge, Massachusetts : |
-- | MIT Press, |
-- | c2001. |
264 #2 - | |
-- | [Piscataqay, New Jersey] : |
-- | IEEE Xplore, |
-- | [2001] |
336 ## - | |
-- | text |
-- | rdacontent |
337 ## - | |
-- | electronic |
-- | isbdmedia |
338 ## - | |
-- | online resource |
-- | rdacarrier |
588 ## - | |
-- | Description based on PDF viewed 12/24/2015. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Soft computing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Support vector machines. |
No items available.