Neural Networks for Pattern Recognition
Nigrin, Albert
Venduto da Better World Books, Mishawaka, IN, U.S.A.
Venditore AbeBooks dal 3 agosto 2006
Usato - Rilegato
Condizione: Good
Quantità: 1 disponibili
Aggiungere al carrelloVenduto da Better World Books, Mishawaka, IN, U.S.A.
Venditore AbeBooks dal 3 agosto 2006
Condizione: Good
Quantità: 1 disponibili
Aggiungere al carrelloFormer library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Codice articolo 3161055-6
In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before.
Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.
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