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| LEADER |
02324cam a2200325 a 4500 |
| 001 |
99931132304151 |
| 005 |
20241030105347.0 |
| 008 |
950822s1995 enka b 001 0 eng |
| 010 |
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|a 95040465
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| 020 |
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|a 0198538499
|q (hbk.)
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| 020 |
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|a 9780198538493
|q (hbk.)
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| 020 |
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|a 0198538642
|q (pbk.)
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| 020 |
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|a 9780198538646
|q (pbk.)
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| 035 |
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|a (OCoLC)33101074
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| 035 |
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|a (OCoLC)ocm33101074
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| 040 |
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|a DLC
|c DLC
|d UKM
|d OCLCO
|d U@S
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| 049 |
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|a U@SA
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| 050 |
0 |
0 |
|a QA76.87
|b .B574 1995
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| 080 |
|
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|a 519.687
|
| 100 |
1 |
|
|a Bishop, Christopher M.
|
| 245 |
1 |
0 |
|a Neural networks for pattern recognition /
|c Christopher M. Bishop.
|
| 260 |
|
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|a Oxford :
|b Clarendon Press ;
|a New York :
|b Oxford University Press,
|c 1995.
|
| 300 |
|
|
|a xvii, 482 p. :
|b il. ;
|c 24 cm.
|
| 504 |
|
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|a Incluye referencias bibliográficas (p. 457-475) e índice.
|
| 505 |
0 |
|
|a Foreword / Geoffrey Hinton -- Preface -- 1. Statistical Pattern Recognition -- 2. Probability Density Estimation -- 3. Single-Layer Networks -- 4. The Multi-layer Perceptron -- 5. Radial Basis Functions -- 6. Error Functions -- 7. Parameter Optimization Algorithms -- 8. Pre-processing and Feature Extraction -- 9. Learning and Generalization -- 10. Bayesian Techniques -- A. Symmetric Matrices -- B. Gaussian Integrals -- C. Lagrange Multipliers -- D. Calculus of Variations -- E. Principal Components.
|
| 520 |
|
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|a "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." --Descripción del editor.
|
| 650 |
|
0 |
|a Neural networks (Computer science)
|
| 650 |
|
0 |
|a Pattern recognition systems.
|
| 650 |
|
7 |
|a Redes neuronales (Computación)
|2 UDESA
|
| 650 |
|
7 |
|a Sistemas de reconocimiento de patrones.
|2 UDESA
|