Pattern Recognition Using Neural Networks - Theory and Algorithms for Engineers and Scientists

This work covers linear pattern recognition and its non-linear extension via neural networks from an algorithmic approach. The text explores multiple layered preceptrons and describes network types such as functional link, radial basis function, learning vector quantanization and self-organizing.

Détails du produit

• Auteurs: Carl G. Looney
• Edition: Oxford University Press
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 01.02.1997
• EAN: 9780195079203
• ISBN: 978-0-19-507920-3
• Pages: 480
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; COMPUTERS / Programming / Algorithms, COMPUTERS / Optical Data Processing, algorithms and data structures, pattern recognition, Algorithms & data structures, COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems