Beschrijving
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms f...
Volledige beschrijving
Alle reviews (1)
Gemiddelde beoordeling:
Masterpiece
4 juli 2001
If you are a starting developer or mathematician interested in neural networks, then you need this book. Anyone who knows anything about nn will tell you so.
Vond je deze review nuttig? Ja (0) | Nee (0) | Ongepast?
Masterpiece
4 juli 2001
If you are a starting developer or mathematician interested in neural networks, then you need this book. Anyone who knows anything about nn will tell you so.
Vond je deze review nuttig? Ja (0) | Nee (0) | Ongepast?
Meer reviews
Productinformatie
- Auteur
-
C.M. Bishop
,
Geoffrey Hinton
- Co-auteur
-
Christopher M. Bishop
- Overige betrokkenen
-
Geoffrey E. Hinton
- Soort
- Met illustraties
- Taal
- Engels
- Afmetingen
- 28x234x156 mm
- Gewicht
- 751 gr
- ISBN10
- 0198538642
- ISBN13
- 9780198538646
Meer boeken met dezelfde kenmerken
Selecteer één of meer kenmerken:
Beschrijving
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.
Terug naar het overzicht
Alle reviews (1)
Gemiddelde beoordeling:
Masterpiece
4 juli 2001
If you are a starting developer or mathematician interested in neural networks, then you need this book. Anyone who knows anything about nn will tell you so.
Vond je deze review nuttig? Ja (0) | Nee (0) | Ongepast?
Masterpiece
4 juli 2001
If you are a starting developer or mathematician interested in neural networks, then you need this book. Anyone who knows anything about nn will tell you so.
Vond je deze review nuttig? Ja (0) | Nee (0) | Ongepast?
Masterpiece
4 juli 2001
If you are a starting developer or mathematician interested in neural networks, then you need this book. Anyone who knows anything about nn will tell you so.
Vond je deze review nuttig? Ja (0) | Nee (0) | Ongepast?
Terug naar het overzicht
