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List of Figures. Preface. Part I: Concepts and Models of Optimization. 1. Preliminaries. 2. Introduction to Mathematical Programming. 3. Unconstrained Nonlinear Programming. 4. Constrained Nonlinear Programming. Part II: Basic Artificial Neural Network Models. 5. Introduction to Artificial Neural Network. 6. Feedforward Neural Networks. 7. Feedback Neural Networks. 8. Self-Organized Neural Networks. Part III: Neural Algorithms for Optimization. 9. NN Models for Combinatorial Problems. 10. NN For Quadratic Programming Problems. 11. NN For General Nonlinear Programming. 12. NN For Linear Programming. 13. A Review on NN for Continuious Optimization. References. Index.
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Add Neural Networks In Optimization, The book consists of three parts. The first part introduces concepts and algorithms in optimization theory, which have been used in neural network research. The second part covers main neural network models and their theoretical analysis. The third part o, Neural Networks In Optimization to the inventory that you are selling on WonderClubX
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Add Neural Networks In Optimization, The book consists of three parts. The first part introduces concepts and algorithms in optimization theory, which have been used in neural network research. The second part covers main neural network models and their theoretical analysis. The third part o, Neural Networks In Optimization to your collection on WonderClub |