000 | 06166cam a2200877 i 4500 | ||
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001 | on1104209023 | ||
003 | OCoLC | ||
005 | 20220712091232.0 | ||
006 | m o d | ||
007 | cr cnu|||unuuu | ||
008 | 190611s2019 enk ob 000 0 eng d | ||
040 |
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015 |
_aGBB964754 _2bnb |
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016 | 7 |
_a019349566 _2Uk |
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020 |
_a9781838671716 _q(electronic bk.) |
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020 |
_a1838671714 _q(electronic bk.) |
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020 |
_a9781838671730 _q(ePub ebook) |
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020 | _a1838671730 | ||
020 | _z9781838671747 | ||
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_aAU@ _b000067268534 |
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_aUKMGB _b019349566 |
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035 | _a(OCoLC)1104209023 | ||
037 |
_a9781838671730 _bEmerald Publishing |
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050 | 4 | _aHD30.2 | |
072 | 7 |
_aBUS _x082000 _2bisacsh |
|
072 | 7 |
_aBUS _x041000 _2bisacsh |
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_aBUS _x042000 _2bisacsh |
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_aBUS _x085000 _2bisacsh |
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080 | _a658 | ||
082 | 0 | 4 |
_a658.4038 _223 |
049 | _aMAIN | ||
100 | 1 |
_aHu, Zhengbing, _eauthor. _9832282 |
|
245 | 1 | 0 |
_aSelf-learning and adaptive algorithms for business applications : _ba guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions / _cby Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko. |
250 | _aFirst edition. | ||
264 | 1 |
_aBingley, UK : _bEmerald Publishing, _c2019. |
|
300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 1 | _aEmerald points | |
504 | _aIncludes bibliographical references. | ||
588 | _aOnline resource; title from PDF title page (EBSCO, viewed June 13, 2019). | ||
505 | 0 | _aFront Cover; Self-Learning and Adaptive Algorithms for Business Applications; Copyright Page; Contents; Acknowledgment; Introduction; Chapter 1 Review of the Problem Area; 1.1. Learning and Self-learning Procedures; 1.2. Clustering; 1.2.1. Clustering Methods; 1.3. Fuzzy Sets and Fuzzy Logic; 1.3.1. Fuzzy Inference Systems and Fuzzy Control; 1.3.2. Type-2 Fuzzy Logic; 1.3.2.1. Interval Type-2 Fuzzy Sets; 1.3.2.2. Model Reduction; 1.3.2.3. Type-2 Fuzzy Clustering; 1.4. Neural Networks and Their Learning Methods; 1.4.1. Artificial Neural Networks; 1.4.2. Neural Networks' Learning | |
505 | 8 | _a1.4.3. Recurrent Neural Networks1.5. Neuro-fuzzy Systems; Chapter 2 Adaptive Methods of Fuzzy Clustering; 2.1. An Objective Function for Fuzzy Clustering; 2.2. Optimization of the Objective Function; 2.3. A Linear Variable Fuzzifier; 2.3.1. Adaptive Fuzzy Clustering with a Variable Fuzzifier; 2.3.2. Possibilistic Fuzzy Clustering with a Variable Fuzzifier; 2.3.3. A Suppression Procedure for Fuzzy Clustering; 2.4. Methods Based on the Gustafson-Kessel Procedure; 2.4.1. The Basic Gustafson-Kessel Method; 2.4.2. A Possibilistic Version of the Gustafson-Kessel Method | |
505 | 8 | _a2.4.3. Adaptive Versions of the Gustafson-Kessel Algorithm2.5. A Robust Fuzzy Clustering Method Based on the Cauchy Criterion; 2.5.1. The Probabilistic Approach; 2.5.2. The Possibilistic Approach; Chapter 3 Kohonen Maps and Their Ensembles for Fuzzy Clustering Tasks; 3.1. The Competitive Learning; 3.2. Kohonen Neural Networks; 3.3. Modifications of Kohonen Self-organizing Maps; 3.4. Ensembles and Their Learning Methods; 3.4.1. Reasons for Using Ensembles; 3.4.2. Basic Notions of the Theory of Collective Output Systems; 3.4.2.1. Confidence; 3.4.2.2. Diversification | |
505 | 8 | _a3.4.2.3. Incremental Ensembles' Learning3.4.3. Methods for Building Ensembles; 3.4.3.1. An Algebraic Combination; 3.4.3.2. A Weighted Combination; 3.4.3.3. Complex Systems of the Collective Output; 3.5. Ensembles of Neuro-fuzzy Kohonen Networks; 3.6. Fuzzy Type-2 Clustering Using Ensembles of Modified Neuro-fuzzy Kohonen Networks; Chapter 4 Simulation Results and Solutions for Practical Tasks; 4.1. Simulation of the Adaptive Neuro-fuzzy Kohonen Network with a Variable Fuzzifier; 4.1.1. Comparative Efficiency; 4.1.2. The Fuzzifier's Influence; 4.1.3. Influence of the Suppression Parameter | |
505 | 8 | _a4.2. Simulation of Adaptive Versions the Gustafson-Kessel Algorithm4.3. Simulation of the Robust Clustering Method Based on the Cauchy Criterion; 4.4. Solving the Task of Automated Cataloging of Illustrative Materials; Conclusion; References | |
520 | _aIn this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear. | ||
590 |
_aeBooks on EBSCOhost _bEBSCO eBook Subscription Academic Collection - Worldwide |
||
650 | 0 |
_aElectronic data processing. _942124 |
|
650 | 0 |
_aBusiness _xData processing. |
|
650 | 0 | _aFuzzy systems. | |
650 | 6 |
_aGestion _xInformatique. _9951042 |
|
650 | 6 |
_aSystèmes flous. _9905335 |
|
650 | 7 |
_aNeural networks & fuzzy systems. _2bicssc _9855107 |
|
650 | 7 |
_aBUSINESS & ECONOMICS _xIndustrial Management. _2bisacsh _991996 |
|
650 | 7 |
_aBUSINESS & ECONOMICS _xManagement. _2bisacsh _991997 |
|
650 | 7 |
_aBUSINESS & ECONOMICS _xManagement Science. _2bisacsh _991998 |
|
650 | 7 |
_aBUSINESS & ECONOMICS _xOrganizational Behavior. _2bisacsh _991999 |
|
650 | 7 |
_aBusiness _xData processing. _2fast _0(OCoLC)fst00842293 |
|
650 | 7 |
_aElectronic data processing. _2fast _0(OCoLC)fst00906956 _942124 |
|
650 | 7 |
_aFuzzy systems. _2fast _0(OCoLC)fst00936814 |
|
655 | 4 | _aElectronic books. | |
700 | 1 |
_aBodyanskiy, Yevgeniy V., _eauthor _9832283 |
|
700 | 1 |
_aTyshchenko, Oleksii, _eauthor. _9832284 |
|
776 | 0 | 8 |
_iPrint version : _z9781838671747 |
830 | 0 | _aEmerald points. | |
856 | 4 | 0 | _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2040570 |
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_aProQuest Ebook Central _bEBLB _nEBL5787820 |
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_aEBSCOhost _bEBSC _n2040570 |
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994 |
_a92 _bINOPJ |
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999 |
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