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Preface; 1. Artificial Neural Networks; 2. Boolean Functions; 3. Threshold Functions; 4. Number of Threshold Functions; 5. Sizes of Weights for Threshold Functions; 6. Threshold Order; 7. Threshold Networks and Boolean Functions; 8. Specifying Sets; 9. Neural Network Learning; 10. Probabilistic Learning; 11. VC-Dimensions of Neural Networks; 12. The Complexity of Learning; 13. Boltzmann Machines and Combinatorial Optimization; Bibliography; Index.
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Add Discrete mathematics of neural networks, This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial , Discrete mathematics of neural networks to the inventory that you are selling on WonderClubX
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Add Discrete mathematics of neural networks, This concise, readable book provides a sampling of the very large, active, and expanding field of artificial neural network theory. It considers select areas of discrete mathematics linking combinatorics and the theory of the simplest types of artificial , Discrete mathematics of neural networks to your collection on WonderClub |