Artifical Neural Network

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