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Published by Uitgeverij Novapres, 2008
ISBN 10: 9063182872ISBN 13: 9789063182878
Seller: medimops, Berlin, Germany
Book
Bezemer, F.; Van Den Brink, H. (illustrator). Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Published by Novapres, Uitgeverij, 2005
ISBN 10: 9063182651ISBN 13: 9789063182656
Seller: medimops, Berlin, Germany
Book
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Condition: Good. Oorspronkelijke omslag met 7 CD's, 8vo.
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: BOOKWEST, Phoenix, AZ, U.S.A.
Book
Hardcover. Condition: New. US SELLER SHIPS FAST FROM USA.
Published by Kluwer Academic, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: BookOrders, Russell, IA, U.S.A.
Book
Hard Cover. Condition: Good. No Jacket. Ex-library with the usual features. The interior is clean and tight. Binding is good. Cover shows light wear. 259 pages. Ex-Library.
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: Ammareal, Morangis, France
Book
Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2001. Editeur différent. Tome 13. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 2001. Different publisher. Volume 13. Ammareal gives back up to 15% of this item's net price to charity organizations.
Published by Springer, 2012
ISBN 10: 9401038643ISBN 13: 9789401038645
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Soft Cover. Condition: new.
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Hardcover. Condition: new.
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2012
ISBN 10: 9401038643ISBN 13: 9789401038645
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2012
ISBN 10: 9401038643ISBN 13: 9789401038645
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer Netherlands Okt 2012, 2012
ISBN 10: 9401038643ISBN 13: 9789401038645
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is also devoted to such tasks. As we shall see, this suggestion is false but does not do any harm as long as it is only the final performance of the algorithm which counts. Neural networks are also used in the modelling of the functioning of (sub systems in) the biological nervous system. It will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies). 276 pp. Englisch.
Published by Springer Netherlands, 2012
ISBN 10: 9401038643ISBN 13: 9789401038645
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The expression Neural Networks refers traditionally to a class of mathematical algorithms that obtain their proper performance while they learn from examples or from experience. As a consequence, they are suitable for performing straightforward and rela.
Published by Springer Netherlands, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: moluna, Greven, Germany
Book Print on Demand
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The expression Neural Networks refers traditionally to a class of mathematical algorithms that obtain their proper performance while they learn from examples or from experience. As a consequence, they are suitable for performing straightforward and rela.
Published by Springer Netherlands, 2012
ISBN 10: 9401038643ISBN 13: 9789401038645
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is also devoted to such tasks. As we shall see, this suggestion is false but does not do any harm as long as it is only the final performance of the algorithm which counts. Neural networks are also used in the modelling of the functioning of (sub systems in) the biological nervous system. It will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies).
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Book Print on Demand
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Published by Springer Netherlands, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is also devoted to such tasks. As we shall see, this suggestion is false but does not do any harm as long as it is only the final performance of the algorithm which counts. Neural networks are also used in the modelling of the functioning of (sub systems in) the biological nervous system. It will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies).
Published by Springer Netherlands Sep 2001, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is also devoted to such tasks. As we shall see, this suggestion is false but does not do any harm as long as it is only the final performance of the algorithm which counts. Neural networks are also used in the modelling of the functioning of (sub systems in) the biological nervous system. It will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies). 276 pp. Englisch.
Published by Springer, 2001
ISBN 10: 0792371925ISBN 13: 9780792371922
Seller: Mispah books, Redhill, SURRE, United Kingdom
Book
Hardcover. Condition: Like New. Like New. book.