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9781032461397 - Artificial Intelligence for Cognitive Modeling: Theory and Practice di Dutta, Pijush; Pal, Souvik; Kumar, Asok; Cengiz, Korhan (26 risultati)
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Artificial Intelligence for Cognitive Modeling : Theory and Practice
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Artificial Intelligence for Cognitive Modeling
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Artificial Intelligence for Cognitive Modeling
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Artificial Intelligence for Cognitive Modeling (Chapman & Hall/CRC Internet of Things)
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ARTIFICIAL INTELLIGENCE FOR COGNITIVE M
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Artificial intelligence for cognitive modeling
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Artificial Intelligence for Cognitive Modeling
Libro 9 di 13: Chapman & Hall/CRC Internet of ThingsLingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 103246139X ISBN 13: 9781032461397
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Aggiungi al carrelloPaperback. Condizione: New. This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features:A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)Formulation of the nonlinear model like analysis of ANOVA and response surface methodologyVariety of solved problems on ANOVA and RSMCase studies of above mentioned intelligent techniques on the different process control systemsThis book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.
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Artificial Intelligence for Cognitive Modeling : Theory and Practice
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Artificial intelligence for cognitive modeling
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Artificial Intelligence for Cognitive Modeling (Chapman & Hall/CRC Internet of Things)
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Artificial Intelligence for Cognitive Modeling: Theory and Practice (Chapman & Hall/CRC Internet of Things)
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Artificial Intelligence for Cognitive Modeling : Theory and Practice
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Artificial Intelligence for Cognitive Modeling: Theory and Practice
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Artificial Intelligence For Cognitive M
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Artificial intelligence for cognitive modeling
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Artificial Intelligence For Cognitive M
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ARTIFICIAL INTELLIGENCE FOR COGNITIVE M
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Artificial Intelligence for Cognitive Modeling: Theory and Practice (Chapman & Hall/CRC Internet of Things)
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Artificial Intelligence for Cognitive Modeling (Paperback)
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features:A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)Formulation of the nonlinear model like analysis of ANOVA and response surface methodologyVariety of solved problems on ANOVA and RSMCase studies of above mentioned intelligent techniques on the different process control systemsThis book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area. This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Artificial Intelligence for Cognitive Modeling
Libro 9 di 13: Chapman & Hall/CRC Internet of ThingsLingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 103246139X ISBN 13: 9781032461397
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Aggiungi al carrelloPaperback. Condizione: New. This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features:A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)Formulation of the nonlinear model like analysis of ANOVA and response surface methodologyVariety of solved problems on ANOVA and RSMCase studies of above mentioned intelligent techniques on the different process control systemsThis book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.
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Artificial Intelligence for Cognitive Modeling | Theory and Practice
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artificial Intelligence for Cognitive Modeling | Theory and Practice | Pijush Dutta (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032461397 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Artificial Intelligence for Cognitive Modeling (Paperback)
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Paperback. Condizione: new. Paperback. This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features:A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)Formulation of the nonlinear model like analysis of ANOVA and response surface methodologyVariety of solved problems on ANOVA and RSMCase studies of above mentioned intelligent techniques on the different process control systemsThis book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area. This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Artificial Intelligence for Cognitive Modeling: Theory and Practice (Chapman & Hall/CRC Internet of Things)
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Artificial Intelligence for Cognitive Modeling (Paperback)
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.Features:A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)Formulation of the nonlinear model like analysis of ANOVA and response surface methodologyVariety of solved problems on ANOVA and RSMCase studies of above mentioned intelligent techniques on the different process control systemsThis book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area. This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Artificial Intelligence for Cognitive Modeling : Theory and Practice
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers both the traditional and modern uses of Artificial Intelligence and soft computing. It is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.
