CS 152 Auxiliary References

• Martin T. Hagan, Howard B. Demuth, and Mark Beale, Neural Network Design, PWS Publishing Company, Boston, 1996, ISBN 0-534-94332-2. This book was used in the 1996 offering of the course. It has excellent tutorial content and is strongly keyed to the use of MATLAB. Matrix formulations are used throughout.

• Simon Haykin, Neural networks - A comprehensive foundation, Macmillan, 1994. This book was used in the 1995 offering of the course. It has a strong mathematical and signal-processing orientation.

• Mohamad H. Hassoun, Fundamentals of artificial neural networks, MIT Press, 1995. This is another fairly thorough introduction.

• James A. Anderson, An introduction to neural networks, MIT Press, 1995. This is a more gentle introduction to the topic, by one of the pioneers in the field.

• Irwin B. Levitan and Leonard K. Kaczmarek, The Neuron, Oxford University Press, 1991. This book focuses on the biology and physics of neurons, if you wish to know more about this aspect; it will not be emphasized in the course.

• Marvin L. Minsky and Seymour Papert, Perceptrons (expanded addition), MIT Press, 1988. The historical importance of this book will be discussed in the course.

• Duda and Hart, Pattern classification and scene analysis, Wiley, 1972. This book gives a broad look at pattern classification problems, but is not on neural nets as such.

• Teuvo Kohonen Self-organizing maps, Springer-Verlag, 1995. This is a comprehensive reference by the originator of this concept.

• Bart Kosko Neural networks and fuzzy systems : a dynamical systems approach to machine intelligence, Prentice Hall, 1992. This book compares fuzzy and neural approaches to control problems.

• Zbigniew Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Third Edition, Springer Verlag, 1996. This book describes the evolutionary approach, which in some cases can achieve results similar to neural approaches.

• John R. Koza, Genetic Programming, MIT Press, 1994. This book focuses on the evolutionary approach to producing programs.

• Christopher G. Langton (ed.), Artificial Life, an Overview, Addison-Wesley, 1989. This is an early colllection of articles on the topic.

• Neuro-Fuzzy and Soft Computing