| 000 | 03215nam a22004815i 4500 | ||
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| 003 | WaSeSS | ||
| 005 | 20220425101546.0 | ||
| 006 | m d | ||
| 007 | cr n | ||
| 008 | 191130s2020 xxu| o |||| 0|eng d | ||
| 020 | _a9781484253618 | ||
| 024 | 7 |
_a10.1007/978-1-4842-5361-8 _2doi |
|
| 040 |
_dWaSeSS _cAIMIT LIBRARY |
||
| 050 | 4 | _aQ334-342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2thema |
|
| 082 | 0 | 4 |
_a006.32 _21 _bSINH |
| 092 | _aEBOOK | ||
| 100 | 1 |
_aSingh, Himanshu. _931436 |
|
| 245 | 1 | 0 |
_aDeep neuro-fuzzy systems with python : _bwith case studies and applications from the industry / _cBy Himanshu Singh and Yunis Ahmad Lone. |
| 250 | _a1st ed. | ||
| 260 |
_aNew York : _bApress , _c2020. |
||
| 300 |
_axv, 260p.; _c23 cm. |
||
| 347 |
_atext file _bPDF _2rda |
||
| 505 | 0 | _aChapter 1: Introduction to Fuzzy Set Theory -- Chapter 2: Fuzzy Rules and Reasoning -- Chapter 3: Fuzzy Inference Systems -- Chapter 4: Introduction to Machine Learning -- Chapter 5: Artificial Neural Networks -- Chapter 6: Fuzzy Neural Networks -- Chapter 7: Advanced Fuzzy Networks. | |
| 506 | _aRequires an SPL library card. | ||
| 520 | _aGain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You'll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You'll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them. In the last section of the book you'll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications. . | ||
| 538 | _aMode of access: World Wide Web. | ||
| 650 | 0 |
_aIntroduction to fuzzy set theory _931437 |
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| 650 | 0 |
_aFuzzy rules and reasoning _931438 |
|
| 650 | 0 |
_aArtificial neural networks _931439 |
|
| 655 | 7 |
_aElectronic books. _2local _931440 |
|
| 700 | 1 |
_aLone, Yunis Ahmad. _931441 |
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| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9781484253601 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781484253625 |
| 856 | 4 | 0 |
_yView this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. _uhttps://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484253618/?ar _zAn e-book available through full-text database. |
| 942 |
_2ddc _cBK _e1st _k006.32 SINH |
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| 999 |
_c222593 _d222593 |
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| 999 | _b03647988 | ||