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PROGRAMMING PYTHON: POWERFUL OBJECT-ORIENTED PROGRAMMING (COVERS PYTHON 3.X), 4TH EDITION
NRS 4480.00
 
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NEURAL NETWORK IN COMPUTER INTELLIGENCE
Introduction neural networks in computer intelligence provides basic concept, algorithms and analysis of important neural network models developed to date, with emphasis on the importance of knowledge in system design. the book bridges the gap between afrificial intelligence and neural networks. key features this book poineers the effort to offer a unified perspective which can be used to integrate intelligence technologies. the broad coverage of the book and the emphasis on basic principles can accommodate the diverse background of readers. with little technical background. students, professionals, and practitioners can be guided through the book and develop a sufficient grasp of the material. the book provides a step-by-step introductioni to artificial neural networks and relates them to symbolic techniques where appropriate. after presenting basic neural network computational models in the beginning chapters, the test takes athe reader through nore advanced model organized around vital scientific and engineering tipics from perspective of computer intelligence. neural networks in computer intelligence formulates each important neural network algorithm in consistent and coherent format and includes end-of-chapter problems for enhancing the studnet's understanding of both theory and application. table of contents preface acknowledgements part i: theory, methods, applications chapter 1. introduction chapter 2. basic neural computational models chapter 3. learning: supervised and unsupervised chapter 4. knowledge-based neural networks chapter 5. incremental learning chapter 6. mathematical modeling chapter 7. complex domains chapter 8. discovery chapter 9. structures and sequences chapter 10. learning spatiotemporal patterns part ii: neural networks and expert systems chapter 11. expert systems chapter 12. causal learning and modeling chapter 13. validation and verification chapter 14. rule generation from neural networks chapter 15. learning grammars part iii: case studies chapter 16. genetic pattern recognition chapter 17. drug discovery chapter 18. flow cytometric analysis of leukemia index

Author : Li-min fu
Publication : Tata
Isbn : 9780070532823
Store book number : 105
NRS 1150.00
  
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