Articoli correlati a Competitively Inhibited Neural Networks for Adaptive...
Sinossi
Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is "good news" and "bad news" associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
1 Introduction.- 2 The CINN Equations.- 3 The CINN Algorithm.- 4 The Continuum Model.- 5 CINN Learning.- 6 Parameter Estimation.- 7 Summary.- A Dynamic System Concepts.- B Proofs of Lemmas.- C The Method of Characteristics.- D Simulation Results.
Product Description
Book by Lemmon Michael
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 95,97
EUR 7,65 per la spedizione in U.S.A.
Destinazione, tempi e costi
Risultati della ricerca per Competitively Inhibited Neural Networks for Adaptive...
Foto dell'editore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation (The Springer International Series in Engineering and Computer Science)
Da: Gorge Books, Vancouver, WA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: Used: Good. This is an exlibrary hardcover with minimal stamps. Crisp pages, strong binding and straight, glossy boards. Normal shelfwear. All items packaged promptly with care. Codice articolo 20491
Quantità: 1 disponibili
Foto dell'editore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation (The Kluwer International Series in Engineering and Computer Science)
Da: Best Price, Torrance, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. SUPER FAST SHIPPING. Codice articolo 9780792390862
Quantità: 1 disponibili
Foto dell'editore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation (The Kluwer International Series in Engineering and Computer Science)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Feb2416190185633
Quantità: Più di 20 disponibili
Foto dell'editore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation (The Kluwer International Series in Engineering and Computer Science)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9780792390862_new
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation
Print on DemandDa: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiric. Codice articolo 5971256
Quantità: Più di 20 disponibili
Foto dell'editore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation
Print on DemandDa: THE SAINT BOOKSTORE, Southport, Regno Unito
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 920. Codice articolo C9780792390862
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is 'good news' and 'bad news' associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph. 160 pp. Englisch. Codice articolo 9780792390862
Quantità: 2 disponibili
Immagini fornite dal venditore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation
Editore:
Springer US, Springer New York Okt 1990, 1990
ISBN 10: 0792390865
ISBN 13: 9780792390862
Nuovo
Rilegato
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is 'good news' and 'bad news' associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch. Codice articolo 9780792390862
Quantità: 1 disponibili
Immagini fornite dal venditore
Competitively Inhibited Neural Networks for Adaptive Parameter Estimation
Editore:
Springer US, Springer New York, 1990
ISBN 10: 0792390865
ISBN 13: 9780792390862
Nuovo
Rilegato
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is 'good news' and 'bad news' associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph. Codice articolo 9780792390862
Quantità: 1 disponibili