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100%: Pierre Lorrentz: Artificial Neural Systems: Principles and Practice (ISBN: 9781681080918) 2018, Bentham Science Publishers, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
67%: Pierre Lorrentz: Artificial Neural Systems: Principle and Practice Volume: 1 (ISBN: 9781681080901) in Englisch, Band: 1, auch als eBook.Nur diese Ausgabe anzeigen…
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Bester Preis: € 79,43 (vom 18.02.2018)1
Artificial Neural Systems: Principle and Practice (2016)
EN NW EB DLISBN: 9781681080901 bzw. 1681080907, in Englisch, 243 Seiten, Bentham Science Publishers, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, ebook for download, Free shipping.
An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and others networks which are complementary to ANN system. The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others. Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design. Kindle Edition, Format: Kindle eBook, Label: Bentham Science Publishers, Bentham Science Publishers, Product group: eBooks, Published: 2016-02-11, Release date: 2016-02-11, Studio: Bentham Science Publishers, Sales rank: 4088067.
An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and others networks which are complementary to ANN system. The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others. Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design. Kindle Edition, Format: Kindle eBook, Label: Bentham Science Publishers, Bentham Science Publishers, Product group: eBooks, Published: 2016-02-11, Release date: 2016-02-11, Studio: Bentham Science Publishers, Sales rank: 4088067.
2
Artificial Neural Systems: Principle and Practice (2018)
EN PB NWISBN: 9781681080918 bzw. 1681080915, in Englisch, 247 Seiten, Bentham Science Publishers, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours, free shipping for AmazonPrime only. Regular USD 4.98.
Von Händler/Antiquariat, Amazon.com.
An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and others networks which are complementary to ANN system. The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others. Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design. Paperback, Label: Bentham Science Publishers, Bentham Science Publishers, Product group: Book, Published: 2018-01-19, Studio: Bentham Science Publishers.
Von Händler/Antiquariat, Amazon.com.
An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and others networks which are complementary to ANN system. The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others. Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design. Paperback, Label: Bentham Science Publishers, Bentham Science Publishers, Product group: Book, Published: 2018-01-19, Studio: Bentham Science Publishers.
3
Artificial Neural Systems: Principle and Practice Volume: 1 (2015)
EN NW EB DLISBN: 9781681080901 bzw. 1681080907, Band: 1, in Englisch, Bentham Science Publishers, Bentham Science Publishers, Bentham Science Publishers, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, in-stock.
An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and other networks which are complementary to ANN systems. The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others. Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design.
An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and other networks which are complementary to ANN systems. The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others. Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design.
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