Principles of Artificial Neural Networks (Advanced Series on Circuits and Systems)
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Lieferung aus: Indien, Usually dispatched within 1-3 weeks, zzgl. Versandkosten (wenn der Anbieter in Ihr Land liefert).
Von Händler/Antiquariat, Fast Media 2.
This textbook is intended for a first-year graduate course on artificial neural networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing. The uniqueness of the book is in the breadth of its coverage over the range of all major artificial neural network approaches and in extensive hands-on case studies on each and every neural network considered. These detailed case studies include complete programme printouts and results and deal with a range of problems, to illustrate the reader's ability to solve problems ranging from speech recognition, character recognition to control and signal processing problems, all on the basis of following the present text. Another aspect of the text is its coverage of important new topics of recurrent (time-cycling) networks and of image memory storage and retrieval problems. The text also attempts to show the reader how he can modify or combine one or more of the neural networks covered, to tailor them to a given problem which does not appear to fit any of the more standard designs, as is very often the case. Hardcover, Format: Import, Label: World Scientific Publishing Co Pte Ltd, World Scientific Publishing Co Pte Ltd, Produktgruppe: Book, Publiziert: 1997-09-09, Studio: World Scientific Publishing Co Pte Ltd.

Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Better World Books: South.
This textbook is intended for a first-year graduate course on artificial neural networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing. The uniqueness of the book is in the breadth of its coverage over the range of all major artificial neural network approaches and in extensive hands-on case studies on each and every neural network considered. These detailed case studies include complete programme printouts and results and deal with a range of problems, to illustrate the reader's ability to solve problems ranging from speech recognition, character recognition to control and signal processing problems, all on the basis of following the present text. Another aspect of the text is its coverage of important new topics of recurrent (time-cycling) networks and of image memory storage and retrieval problems. The text also attempts to show the reader how he can modify or combine one or more of the neural networks covered, to tailor them to a given problem which does not appear to fit any of the more standard designs, as is very often the case. Hardcover, Label: World Scientific Publishing Company, World Scientific Publishing Company, Produktgruppe: Book, Publiziert: 1997-01, Studio: World Scientific Publishing Company, Verkaufsrang: 15674465.

Lieferung aus: Frankreich, Expédition sous 1 à 2 jours ouvrés.
Von Händler/Antiquariat, Hinoyama#EU.
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Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 1-2 business days, zzgl. Versandkosten (wenn der Anbieter in Ihr Land liefert).
Von Händler/Antiquariat, betterworldbooks.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, zzgl. Versandkosten (wenn der Anbieter in Ihr Land liefert).
Von Händler/Antiquariat, betterworldbooks__.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen