Neural Networks for Pattern Recognition
Bishop, Christopher M.
Verkauft von BIBLIOPE by Calvello Books, Oakland, CA, USA
AbeBooks-Verkäufer seit 19. März 1998
Gebraucht - Softcover
Zustand: very good
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von BIBLIOPE by Calvello Books, Oakland, CA, USA
AbeBooks-Verkäufer seit 19. März 1998
Zustand: very good
Anzahl: 1 verfügbar
In den Warenkorb legenOctavo in red and green wraps; illustrations; References; Index; 482p. "In this textbook, Chris Bishop provides the first comprehensive treatment of feed-forward networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, he 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. He also motivates the use of various forms of error function, and reviews the principal algorithms for error function minimization. There is a detailed discussion of learning and generalization in neural networks, and the important topics of data processing, feature extraction, and prior knowledge are also covered. He concludes with an extensive treatment of Bayesian techniques and their applications to neural networks." --Back cover. Includes: 129 Graded exercises, a self-containd introduction to statistical pattern recognition, and an extensive discussion of Bayesian methods. A very good (-) copy with creasing to front bottom edge of wraps and sunning to spine; corners are lightly bumped; first few pages have mild discoloration but leaves are otherwise clean and binding tight; fore edge has teeny dampstains.
Bestandsnummer des Verkäufers 103344
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