Neural Networks for Pattern Recognition

Título: Neural Networks for Pattern Recognition

Autor: Christopher M. Bishop

Sinopse: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition. Acabamento: Paperback. Peso: 563g. Dimensões: 23 x 16 x 1.

Contexto da obra

Dentro do catálogo, este livro pode ser situado a partir do tema, da autoria e da proposta editorial. “Neural Networks for Pattern Recognition”, de Christopher M. Bishop, publicado pela editora Oxford Uk, em 1996 e com 504 páginas, integra a categoria Inteligência Artificial. Esse enquadramento pode tornar mais clara a proposta do livro e o tipo de interesse que ele costuma despertar.

Editora: Oxford Uk

Páginas: 504

Ano: 1996

Edição: 1ª EDIÇÃO

Linguagem:

ISBN:

ISBN13: 9780198538646