Bibliografía recomendada

Buena parte de la bibliografía está disponible en inglés, por lo cual es necesario que los alumnos posean una capacidad suficiente para la lectura y comprensión de textos en este idioma.

Libros

En cada unidad temática se sugerirá el o los capítulos correspondientes.

• M.M. Gupta, L. Jin, N. Homma, Static and Dynamic Neural Networks From Fundamentals to Advanced Theory, John Wiley & Sons, 2003.
• S. Haykin, Neural Networks: A Comprehensive Foundation, Macmillan College Publishing Company, 1994.
• T. Kohonen, Self Organizing Maps, Springer Verlag, 1995.
• J. Freeman, Simulating Neural Networks, Addison Wesley, 1994.
• J. Freeman y D. Skapura, Redes neuronales: algoritmos, aplicaciones y técnicas de programación, Addison Wesley, 1993.
• C. Bishop, Neural Networks for Pattern Recognition, Oxford, 1999.
• C. Lau, Neural Networks: Theoretical Foundations and Analysis, IEEE Press, 1992.
• R. M. Hristev, The ANN Book, 1998.
• B. D. Ripley, Pattern Recognition and Neural Networks, Cambridge Univ. Press, 1996.
• T. Masters, Neural, Novel & Hybrid Algorithms for Time Series Prediction, J. Wiley & Sons, 1995.

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• W. Siler, J.J. Buckley, Fuzzy Expert Systems and Fuzzy Reasoning, John Wiley & Sons, 2005.
• K. Tanaka, H. O. Wang, Fuzzy Control Systems Design and Analysis, John Wiley & Sons, 2001.
• F. M. McNeill, E. Thro, Fuzzy Logic, A Practical Approach, Academic Press, 1994.
• J-S. R. Jang, C-T. Sun, E. Mizutani, Neuro-Fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence, Prentice Hall, 1997.
• O. Wolkenhauer, Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis, John Wiley & Sons, 2001.
• B. Kosko, Fuzzy Engineering, Prentice Hall, 1997.
• B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice Hall, 1992.
• L. A. Zadeh y J. Kacprzyk, Fuzzy Logic for the Management of Uncertainty, John Wiley, 1992.
• J. C. Bezdek y S. K. Sankar, Fuzzy Models for Pattern Recognition: Methods that Search for Structures in Data, IEEE Press, 1992.

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• R. L. Haupt, S. E. Haupt, Practical Genetic Algorithms, John Wiley & Sons, 2004.
• A. Menon, Frontiers of Evolutionary Computation, Kluwer Academic Publishers, 2004.
• L. D. Chambers, The Practical Handbook of Genetic Algorithms, Vols. I, II & III, CRC Press, 2000.
• T. Back, D. B. Fogel, Z. Michalewicz, Evolutionary Computation 1: Basic Algorithms and Operators, IOP Publishing Ltd, 2000.
• T. Back, D. B. Fogel, Z. Michalewicz, Evolutionary Computation 2: Advanced Algorithms and Operators, IOP Publishing Ltd, 2000.
• M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, 1999.
• T. Back, D. B. Fogel, Z. Michalewicz, Handbook of Evolutionary Computation, IOP Publishing Ltd and Oxford University Press, 1997.
• D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, 1989.
• Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer Verlag, 1992.
• S. Pal y P. Wang, Genetic Algorithm for Pattern Recognition, CRC Press, 1996.
• C. von Altrock, Fuzzy Logic and Neurofuzzy Application Explained, Prentice Hall, 1995.
• L. Davis (Ed.), Handbook of Genetic Algorithms, Van Nostrand Reinhold, 1991.

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• R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification (2da Edición), Wiley Interscience, 2000.
• A. Konar, Behavioral and Cognitive Modeling of the Human Brain Artificial Intelligence and Soft Computing, CRC Press, 2000.
• A. P. Engelbrecht, Computational Intelligence: An Introduction, John Wiley & Sons, 2002.
• David J.C. MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge University Press, 2003.
• V. Kecman, Learning and Soft Computing: Support Vector Machines, Neural Networks and Fuzzy Logic Models, MIT Press, 2001.
• V. Cherkassky y F. Mulier, Learning from Data: Conceps, Theory and Methods, Wiley International Science, 1998.
• V. N. Vapnik, The Nature of Statistical Learning Theory, Springer, 2000.
• L. Rutkowski, Computational Intelligence: Methods and Techniques, Springer, ISBN 9783540762874, 2008

Publicaciones periódicas

IEEE Transactions on:

• Fuzzy Systems
• Evolutionary Computation
• Neural Networks
• Pattern Analysis and Machine Intelligence
• Systems, Man, and Cybernetics
• Robotics and Automation
• Image Processing
• Information Theory
• Knowledge and Data Engineering

Proceedings of the IEEE.

Elsevier Science:

• Fuzzy Sets and Systems
• Intelligent Data Analysis
• International Journal of Neurocomputing
• Neural Networks
• Pattern Recognition
• Neurocomputing

Ablex Publishing: Journal of Artificial Neural Networks

World Scientific Publishing:

• International Journal on Artificial Intelligence Tools
• International Journal of Intelligent Control and Systems
• International Journal of Neural Systems
• International Journal of Pattern Recognition and Artificial Intelligence
• International Journal of Cooperative Intelligent Systems
• International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

MIT Press:

• Neural Computation
• Evolutionary Computation
• Journal of Cognitive Neuroscience

Kluwer Academic Publishers:

• Machine Learning
• Neural Processing Letters
• Journal of Intelligent Systems (con Freund Publishing House Ltd.)

Springer Verlag: Neural Computing with Applications

John Wiley & Sons: International Journal of Intelligent Systems

Pergamom Press: Neural Networks

Blackwell Publishers: Computational Intelligence

International Neural Network Society: INNS Neural Networks Newsletter

Finance & Technology Publishing: Journal of Computational Intelligence in Finance