MRECW Students E- Learning Point Computer Security Student (CSS)

ebooks on Neural Network (Artificial Intelligence)

1. Neural Nets, Kevin Gurney
2. An Introduction to Artificial Neural Networks, C.A.L. Bailer-Jones berg, R. Gupta, H.P. Singh
3. Neural Networks, Genevieve Orr
4. Introduction to Neural Networks
5. Machine Learning, Neural and Statistical Classification, D. Michie, D.J. Spiegelhalter, C.C. Taylor
6. Planning Algorithms, Steven M. LaValle
7. Introduction to Machine Learning, Nils J. Nilsson
8. Reinforcement Learning: An Introduction, Richard S. Sutton and Andrew G. Barto
9. An Introduction to Neural Networks Ben Krose, Patrick van der Smagt
10. Neural Networks - A Systematic Introduction, Raul Rojas
11. Neural Networks, Christos Stergiou and Dimitrios Siganos
12. Dynamics of Complex Systems, Yaneer Bar-Yam
13. Convex Optimization, Stephen Boyd and Lieven Vandenberghe
14. Reinforcement Learning:An Introduction, Richard S. Sutton, Andrew G. Barto
15. Computing and the Brain, Dr Bruce Graham
16. A Genetic Algorithm Tutorial, Darrell Whitley
17. Artificial Intelligence through Prolog, Neil C. Rowe
18. Brief Introduction to Educational Implications of Artificial Intelligenc,David Moursund
19. Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Christopher K. I. Williams
20. Global Optimization Algorithms - Theory and Application, Thomas Weise
21. Introduction to Neural Networks with Java, Jeff Heaton
22. Practical Artificial Intelligence Programming in Java, Mark Watson
23. Prolog and Natural-Language Analysis, Fernando C. N. Pereira, Stuart M. Shieber