Simulating neural networks with mathematica

By:

Freeman J.A

Material type: Text

TextPublication details: 1994 Addison Wesley EnglandDescription: x,341p 23 cm ; Hard BoundISBN:

978-0201566291

Subject(s):

Computer Science Mathematica - Computer program

Contents:

1. Introduction to Neural Networks and Mathematica 2. Training by Error Minimization 3. Backpropagation and Its Variants 4. Probability and Neural Networks 5. Optimization and Constraint Satisfaction with Neural Networks 6. Feedback and Recurrent Networks 7. Adaptive Resonance Theory 8. Genetic Algorithms

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	001.644040..FRE (Browse shelf(Opens below))	Available		17487

Rs.570/-

1. Introduction to Neural Networks and Mathematica
2. Training by Error Minimization
3. Backpropagation and Its Variants
4. Probability and Neural Networks
5. Optimization and Constraint Satisfaction with Neural Networks
6. Feedback and Recurrent Networks
7. Adaptive Resonance Theory
8. Genetic Algorithms

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