Simulating neural networks with Mathematica / James A. Freeman.
Publisher: Reading, Mass. : Addison-Wesley, c1994Description: x, 341 p. : ill. ; 25 cmISBN: 020156629XSubject(s): Neural networks (Computer science)DDC classification: 006.3,FRE
Contents:
Introduction To Neural Networks And Mathematica (Page-1), Training By Error Minimization (Page-3), Back propagation And Its Variants (Page-67), Probability And Neural Networks (Page-115), Optimization And Constraint Satisfaction (Page-153), Feedback And Recurrent Networks Page 177, Adaptive Resonance Theory (Page-209), Genetic Algorithms (Page-259).
| Item type | Current location | Home library | Collection | 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,FRE (Browse shelf) | Link to resource | Available | Almirah No.7, Shelf No.1 | MCS27147 | |||
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Military College of Signals (MCS) | Military College of Signals (MCS) | NFIC | 006.3 FRE (Browse shelf) | Link to resource | Available | MCS27230 |
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Introduction To Neural Networks And Mathematica (Page-1), Training By Error Minimization (Page-3), Back propagation And Its Variants (Page-67), Probability And Neural Networks (Page-115), Optimization And Constraint Satisfaction (Page-153), Feedback And Recurrent Networks Page 177, Adaptive Resonance Theory (Page-209), Genetic Algorithms (Page-259).
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