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An Introduction to Neural Networks - James A. Anderson
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James A. Anderson:

An Introduction to Neural Networks - nouveau livre

ISBN: 9780262510813

ID: 30bf0ad5792e9f770a7c8e63c93e7bbd

An Introduction to Neural Networks The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-262-51081-3, MIT Press

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An Introduction to Neural Networks - James A. Anderson
Livre non disponible
(*)

James A. Anderson:

An Introduction to Neural Networks - nouveau livre

ISBN: 9780262510813

ID: 30bf0ad5792e9f770a7c8e63c93e7bbd

An Introduction to Neural Networks The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-262-51081-3, Mit Press

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Nr. 6799983 Frais d'envoiBei Bestellungen innerhalb der Schweiz berechnen wir Fr. 3.50 Portokosten, Bestellungen ab EUR Fr. 75.00 sind frei. Die voraussichtliche Versanddauer liegt bei 1 bis 2 Werktagen., wird besorgt, Lieferzeit unbekannt, zzgl. Versandkosten, Livraison non-comprise
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An Introduction to Neural Networks - James A. Anderson
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James A. Anderson:
An Introduction to Neural Networks - nouveau livre

ISBN: 9780262510813

ID: 237116837

The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it. An Introduction to Neural Networks Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Mit Press

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An Introduction to Neural Networks - James A. Anderson
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James A. Anderson:
An Introduction to Neural Networks - nouveau livre

ISBN: 9780262510813

ID: 223971561

The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it. An Introduction to Neural Networks Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, MIT Press

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Introduction to Neural Networks - James A. Anderson
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James A. Anderson:
Introduction to Neural Networks - Livres de poche

1995, ISBN: 9780262510813

ID: 256963

Softcover, Buch, [PU: MIT Press]

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Détails sur le livre
An Introduction to Neural Networks
Auteur:

Anderson, James A.

Titre:

An Introduction to Neural Networks

ISBN:

0262510812

"An Introduction to Neural Networks" falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas aboutdata representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how

Informations détaillées sur le livre - An Introduction to Neural Networks


EAN (ISBN-13): 9780262510813
ISBN (ISBN-10): 0262510812
Livre de poche
Date de parution: 1995
Editeur: MIT PR
666 Pages
Poids: 1,429 kg
Langue: eng/Englisch

Livre dans la base de données depuis 10.05.2007 13:00:51
Livre trouvé récemment le 27.05.2016 16:35:27
ISBN/EAN: 0262510812

ISBN - Autres types d'écriture:
0-262-51081-2, 978-0-262-51081-3

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