Neural Networks for Pattern Recognition
β Christopher M. Bishop
π Library
π
1996
π Oxford University Press, USA
π English
β¦ LIBER β¦
π
Neural Networks for Pattern Recognition
β Scribed by Christopher M. Bishop
- Publisher
- Oxford University Press, USA
- Year
- 1995
- Tongue
- English
- Leaves
- 498
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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 modelling 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.
β¦ Subjects
ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠ° ΠΈ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΠ΅Ρ Π½ΠΈΠΊΠ°;ΠΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡ;ΠΠ΅ΠΉΡΠΎΠ½Π½ΡΠ΅ ΡΠ΅ΡΠΈ;
π SIMILAR VOLUMES
Neural Networks for Pattern Recognition
β Christopher M. Bishop
π Library
π
1996
π Oxford University Press, USA
π English
Dr. Bishop is a world-renowned expert in this field, but his book didn't work for me. Despite the title, it covers the more general topic of classification, not just Neural Networks. However, it does so less well than my favorites (esp. Hastie and Tibshirani). In terms of specific discussion of nonl
Neural Networks for Pattern Recognition
β Christopher M. Bishop
π Library
π
1996
π Oxford University Press, USA
π English
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
Neural Networks for Pattern Recognition
β Christopher M. Bishop
π Library
π
1996
π OUP
π English
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
Neural Networks for Pattern Recognition
β Albert Nigrin
π Library
π
1993
π The MIT Press
π English
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. Fo
Neural Networks for Pattern Recognition
β Albert Nigrin
π Library
π
1993
π A Bradford Book
π English
<P>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.