Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
Lingua: Inglese
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Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
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Aggiungi al carrelloPaperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artificial Neural Network | Vinod Patil (u. a.) | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200093417 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Editore: LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well. Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, and has survived several eras. Many important advances have been boosted by the use of inexpensive computer emulations. 52 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
Lingua: Inglese
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Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
Lingua: Inglese
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Editore: LAP LAMBERT Academic Publishing, 2019
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil VinodMr Patil Vinodkumar Ramesh Working as Assistant Professor in E & TC Deptartment of RCPIT,Shirpur.I have 14 Year teaching Exprience.An Artificial Neural Network (ANN) is an information-processing paradigm that is inspir.
Editore: LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well. Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, and has survived several eras. Many important advances have been boosted by the use of inexpensive computer emulations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200093415 ISBN 13: 9786200093417
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well. Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, and has survived several eras. Many important advances have been boosted by the use of inexpensive computer emulations.