I have done some research with neural networks. Now, I will like to learn about other artificial intelligence techniques for having more tools for solving problems. Can you provide me with some good references?
I have studied Neural Networks and Fuzzy Logic (C. Naga Bhaskar and G. Vijay Kumar , BS Publications, 2011), a combination context on neural networks and fuzzy logic. I think it can be useful for you according to the background you mentioned here.
I have studied Neural Networks and Fuzzy Logic (C. Naga Bhaskar and G. Vijay Kumar , BS Publications, 2011), a combination context on neural networks and fuzzy logic. I think it can be useful for you according to the background you mentioned here.
For fuzzy logic I recommend to study initial works of L. Zadeh, as well as great practical book of authors from Japan «Applied Fuzzy Systems» (I'm not sure how the title was translated from Japanese into English) — Terano T., Asai K. and Sugeno M.
Here is it: https://www.researchgate.net/publication/264913479_Applied_fuzzy_systems_Transl_from_the_Japanese_and_with_a_preface_by_Yu_N_Chernyshov_Prikladnye_nechetkie_sistemy
Article Applied fuzzy systems. Transl. from the Japanese and with a ...
I attached some paper related to different varieties of neural network. This study also focus on application of GA, PSO, CSA to compute the optimal weight of neural network.
Handbook of Memetic Algorithms (F. Neri, C. Cotta, P. Moscato), Studies in Computational Intelligence, Vol. 379, Springer-Verlag, Berlin Heidelberg, 2012
It features introductory chapters on local search, evolutionary algorithms and memetic algorithms, as well as advanced chapters on algorithmic design, combinatorial optimization, multiobjective optimization, applications, etc.
Authors: Michalewicz Zbigniew, Fogel David B. (about all main artificial intelligence techniques, inc. Fuzzy Logic, Genetic Algorithms and Neural Networks)
Genetic Algorithms + Data Structures = Evolution Programs Author: Michalewicz Zbigniew (GA only )
Classical lecture is Goldberg, D. E.: Genetic Algorithms in Search, Optimization, and Machine Learning. But is it a bit obsolete.
If you want a very practical book, about how to use metaheuristics (including genetic algorithms) in the R tool (open source), then I advise this book:
Modern Optimization with R, Use R! series, Springer, 2014,
Chapter 6 of my book "Einführung in die Theorie der kognitiven Kommunikation" deals with fuzzy sets and neural networks. The book, however, is written in German language. Parts of the text you may find when you type the title in Google.
If you want to learn about a wide range AI techniques and not only fuzzy and genetic approaches then I would recommend you the book "Artificial Intelligence: A Modren Approach" by Russell and Norvig