9788132215622 - non-linear feedback neural networks: vlsi implementations and applications (studies in computational intelligence, 508, band 508) von ansari, mohd. samar (3 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2013
Serie: Studies in Computational Intelligence, Buch 50 von 538. Buch 50 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, Springer 2013
Serie: Studies in Computational Intelligence, Buch 50 von 538. Buch 50 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synapt…ic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.
Sprache: Englisch
Verlag: Springer India 2013
Serie: Studies in Computational Intelligence, Buch 50 von 538. Buch 50 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Buchpark, Trebbin, , DeutschlandBuchpark
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and… synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.
