Neural networks : a comprehensive foundation / Simon Haykin.
Publisher: Upper Saddle River, N.J. : Prentice Hall, c1999Edition: 2nd edDescription: xxi, 842 p. : ill. ; 25 cmISBN: 8120323734Subject(s): Neural networks (Computer science)DDC classification: 006.3,HAY
Contents:
Introduction (Page-1), Learning Process (Page-50), Single Layer Perceptions (Page-117), Multilayer Perceptions (Page-156), Radial Basis Function Networks (Page-256), Support Vector Machines (Page-318), Committee Machines (Page-351), Principles Components Analysis (Page-392), Self Organizing Maps (Page-443), Information Theoretic Models (Page-484), Stochastic Machines And Their Approximates Rooted In Statistical Mechanics (Page-545), Nerurodynamic Programming (Page-635), Neurodynamics (Page-664), Dynamically Driven Recurrent Networks (Page-732),
| Item type | Current location | Home library | Shelving location | Call number | URL | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|---|
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Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 006.3,HAY (Browse shelf) | Link to resource | Available | Almirah No.7, Shelf No.2 | MCS31861 |
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Introduction (Page-1), Learning Process (Page-50), Single Layer Perceptions (Page-117), Multilayer Perceptions (Page-156), Radial Basis Function Networks (Page-256), Support Vector Machines (Page-318), Committee Machines (Page-351), Principles Components Analysis (Page-392), Self Organizing Maps (Page-443), Information Theoretic Models (Page-484), Stochastic Machines And Their Approximates Rooted In Statistical Mechanics (Page-545), Nerurodynamic Programming (Page-635), Neurodynamics (Page-664), Dynamically Driven Recurrent Networks (Page-732),

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