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- EditoreCRC Press
- Data di pubblicazione2025
- ISBN 10 1032746327
- ISBN 13 9781032746326
- RilegaturaCopertina rigida
- LinguaInglese
- Numero edizione1
- Numero di pagine322
- RedattoreWajid Mohd Anas, Zafar Aasim, Wajid Mohammad Saif, Khanday Akib Mohi Ud Din, Bhattacharya Pronaya
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Soft Computing and Machine Learning : A Fuzzy and Neutrosophic View of Reality
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Soft Computing and Machine Learning : A Fuzzy and Neutrosophic View of Reality
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Soft Computing and Machine Learning (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032746327
ISBN 13: 9781032746326
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Hardcover. Condizione: new. Hardcover. This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.This book:Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computationExamines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real lifeServes as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of ThingsCovers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cyberneticsIllustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industriesThe text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781032746326
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Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality
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Hardcover. Condizione: Brand New. 400 pages. 9.18x6.12 inches. In Stock. This item is printed on demand. Codice articolo __1032746327
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Soft Computing and Machine Learning (Computational Methods for Industrial Applications)
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Soft Computing and Machine Learning : A Fuzzy and Neutrosophic View of Reality
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Soft Computing and Machine Learning (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032746327
ISBN 13: 9781032746326
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Hardcover. Condizione: new. Hardcover. This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.This book:Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computationExamines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real lifeServes as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of ThingsCovers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cyberneticsIllustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industriesThe text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781032746326
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Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality
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Hardcover. Condizione: Brand New. 400 pages. 9.18x6.12x9.21 inches. In Stock. Codice articolo x-1032746327
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Soft Computing and Machine Learning (Hardcover)
Editore:
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032746327
ISBN 13: 9781032746326
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Hardcover. Condizione: new. Hardcover. This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.This book:Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computationExamines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real lifeServes as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of ThingsCovers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cyberneticsIllustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industriesThe text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology. This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781032746326
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