Understanding neural networks and fuzzy logic : (Record no. 59556)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03920nam a2200925 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 5273099 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421114116.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151221s1995 nyua ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780470546826 |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Kartalopoulos, Stamatios V., |
| 245 10 - TITLE STATEMENT | |
| Title | Understanding neural networks and fuzzy logic : |
| Sub Title | basic concepts and applications / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (xxiv, 205 pages) : |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press understanding science & technology series ; |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Preface. Acknowledgments. Introduction. Biological Neural Networks. Artificial Neural Networks: Concepts Neural Network Paradigms. Fuzzy Logic. Fuzzy Neural Networks. Applications. Chapter Review Answers. Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background. Sponsored by: IEEE Neural Networks Council. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5273099 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | New York : |
| -- | Institute of Electrical and Electronics Engineers, |
| -- | c1996. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [1995] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Fuzzy systems. |
| 695 ## - | |
| -- | Adaptation model |
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| -- | Artificial neural networks |
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| -- | Biological neural networks |
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| -- | Biological system modeling |
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| -- | Biomembranes |
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| -- | Bismuth |
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| -- | Brain modeling |
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| -- | Chemicals |
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| -- | Control systems |
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| -- | Electric potential |
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| -- | Feature extraction |
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| -- | Fuzzy logic |
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| -- | Fuzzy neural networks |
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| -- | Indexes |
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| -- | Input variables |
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| -- | Logic gates |
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| -- | Mathematical model |
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| -- | Nerve fibers |
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| -- | Neurons |
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| -- | Neurotransmitters |
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| -- | Noise |
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| -- | Pattern recognition |
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| -- | Photodetectors |
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| -- | Proteins |
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| -- | Queueing analysis |
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| -- | Random access memory |
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| -- | Regions |
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| -- | Shape |
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| -- | Signal processing algorithms |
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| -- | Speech recognition |
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| -- | Training |
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| -- | Vehicles |
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