Publicado por Oxford University Press, 1997
ISBN 10: 0195079205 ISBN 13: 9780195079203
Idioma: Inglés
Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
EUR 23,76
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Librería: Buchpark, Trebbin, Alemania
EUR 11,97
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Librería: Buchpark, Trebbin, Alemania
EUR 11,97
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
Publicado por Oxford University Press, USA, 1997
ISBN 10: 0195079205 ISBN 13: 9780195079203
Idioma: Inglés
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 160,00
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: new.
Publicado por Oxford University Press Inc Feb 1997, 1997
ISBN 10: 0195079205 ISBN 13: 9780195079203
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 455,40
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimumdistance, graphical and structural methods, and Bayesian discrimination. Looney has written a graduate level textbook combining the fields of pattern recognition and neural networks. It contains some theory of why the most useful networks work, the pitfalls, the algorithms to implement them, and their applications. This text is suitable for an advanced undergraduate or graduate level course in pattern recognition or neural networks for students in computer science or electrical and computer engineering. It is also useful as a reference and a resource for practitioners and researchers.