"Soft Computing" covers fuzzy logic, neural networks, and evolutionary algorithms in a complete introduction to the area. The book begins by charting computing from traditional AI to computational intelligence, preparing readers for soft computing. It teaches machine learning fundamentals. The book covers fuzzy logic, including fuzzy sets, relations, and inference systems. Readers learn about fuzzy logic in expert systems and decision-making through thorough discussions on membership functions and fuzzy reasoning. In the second section, the book covers neural network evolution, construction, and training techniques. Readers learn about neural network models and machine learning applications, from feedforward networks to adaptive resonance structures. Genetic algorithms, their biological origin, optimization methods, and comparison to classical algorithms are covered in the book's conclusion. Reading examples and case studies helps readers understand genetic algorithms and their applicability in difficult optimization issues. "Soft Computing" is a useful reference for students, academics, and practitioners investigating the wide field of soft computing.
"synopsis" may belong to another edition of this title.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9786207654413
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9786207654413
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9786207654413_new
Quantity: Over 20 available
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Soft Computing' covers fuzzy logic, neural networks, and evolutionary algorithms in a complete introduction to the area. The book begins by charting computing from traditional AI to computational intelligence, preparing readers for soft computing. It teaches machine learning fundamentals. The book covers fuzzy logic, including fuzzy sets, relations, and inference systems. Readers learn about fuzzy logic in expert systems and decision-making through thorough discussions on membership functions and fuzzy reasoning. In the second section, the book covers neural network evolution, construction, and training techniques. Readers learn about neural network models and machine learning applications, from feedforward networks to adaptive resonance structures. Genetic algorithms, their biological origin, optimization methods, and comparison to classical algorithms are covered in the book's conclusion. Reading examples and case studies helps readers understand genetic algorithms and their applicability in difficult optimization issues. 'Soft Computing' is a useful reference for students, academics, and practitioners investigating the wide field of soft computing. 92 pp. Englisch. Seller Inventory # 9786207654413
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26404105003
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 409049332
Quantity: 4 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404104993
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Soft Computing' covers fuzzy logic, neural networks, and evolutionary algorithms in a complete introduction to the area. The book begins by charting computing from traditional AI to computational intelligence, preparing readers for soft computing. It teaches machine learning fundamentals. The book covers fuzzy logic, including fuzzy sets, relations, and inference systems. Readers learn about fuzzy logic in expert systems and decision-making through thorough discussions on membership functions and fuzzy reasoning. In the second section, the book covers neural network evolution, construction, and training techniques. Readers learn about neural network models and machine learning applications, from feedforward networks to adaptive resonance structures. Genetic algorithms, their biological origin, optimization methods, and comparison to classical algorithms are covered in the book's conclusion. Reading examples and case studies helps readers understand genetic algorithms and their applicability in difficult optimization issues. 'Soft Computing' is a useful reference for students, academics, and practitioners investigating the wide field of soft computing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9786207654413
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Soft Computing | Pankaj Bhambri (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786207654413 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 131884149
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Soft Computing' covers fuzzy logic, neural networks, and evolutionary algorithms in a complete introduction to the area. The book begins by charting computing from traditional AI to computational intelligence, preparing readers for soft computing. It teaches machine learning fundamentals. The book covers fuzzy logic, including fuzzy sets, relations, and inference systems. Readers learn about fuzzy logic in expert systems and decision-making through thorough discussions on membership functions and fuzzy reasoning. In the second section, the book covers neural network evolution, construction, and training techniques. Readers learn about neural network models and machine learning applications, from feedforward networks to adaptive resonance structures. Genetic algorithms, their biological origin, optimization methods, and comparison to classical algorithms are covered in the book's conclusion. Reading examples and case studies helps readers understand genetic algorithms and their applicability in difficult optimization issues. 'Soft Computing' is a useful reference for students, academics, and practitioners investigating the wide field of soft computing. Seller Inventory # 9786207654413