Principles of Artificial Neural Networks: 7 (Advanced Series in 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: Schweiz, wird besorgt, Lieferzeit unbekannt.
Principles of Artificial Neural Networks, Suitable as a self-study course for engineers and computer scientists in the industry, this book covers major neural network approaches and architectures with the theories. It presents detailed case studies for each of the approaches, accompanied with computer codes and the corresponding computed results. gebundene Ausgabe, 01.04.2007.

Lieferung aus: Deutschland, zzgl. Versandkosten, Versandfertig innerhalb von 3 Wochen.
Principles of Artificial Neural Networks, Suitable as a self-study course for engineers and computer scientists in the industry, this book covers major neural network approaches and architectures with the theories. It presents detailed case studies for each of the approaches, accompanied with computer codes and the corresponding computed results.

Lieferung aus: Niederlande, Direct beschikbaar.
bol.com.
Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in fina... Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.Contents:Introduction and Role of Artificial Neural NetworksFundamentals of Biological Neural NetworksBasic Principles of ANNs and Their Early StructuresThe PerceptronThe MadalineBack PropagationHopfield NetworksCounter PropagationLarge Scale Memory Storage and Retrieval (LAMSTAR) NetworkAdaptive Resonance TheoryThe Cognitron and the NeocognitronStatistical TrainingRecurrent (Time Cycling) Back Propagation Networks Readership: Graduate and advanced senior students in artificial intelligence, pattern recognition & image analysis, neural networks, computational economics and finance, and biomedical engineering. Taal: Engels;Formaat: ePub met kopieerbeveiliging (DRM) van Adobe;Bestandsgrootte: 32.65 MB;Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ;Printrechten: Het printen van de pagina's is niet toegestaan;Voorleesfunctie: De voorleesfunctie is uitgeschakeld;Geschikt voor: Alle e-readers geschikt voor ebooks in ePub formaat. Tablet of smartphone voorzien van een app zoals de bol.com Kobo app.;Verschijningsdatum: juli 2013;ISBN10: 9814522759;ISBN13: 9789814522755; Engelstalig | Ebook | 2013.

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.
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Lieferung aus: Deutschland, ebook for download, Free shipping.
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Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, E-Book zum Download, Versandkostenfrei.
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