Neural Network Books

Recommended

Neural Networks: A Comprehensive Foundation
(by Simon Haykin) Hardcover: 842 pages; Publisher: Pearson Education; 2nd edition (July 6, 1998); ISBN: 0132733501

Neural Networks for Pattern Recognition
(by Christopher M. Bishop) Paperback: 504 pages; Publisher: Oxford University Press; (November 1, 1995); ISBN: 0198538642

Pattern Classification
(by Richard O. Duda, Peter E. Hart, David G. Stork) Hardcover: 654 pages; Publisher: Wiley-Interscience; 2nd edition (October 2000); ISBN: 0471056693

Interesting Reading

Fundamentals of Artificial Neural Networks
(by Mohamad H. Hassoun) Hardcover: 511 pages; Publisher: MIT Press; (March 27, 1995); ISBN: 026208239X

An Introduction to Neural Networks
(by James A. Anderson) Hardcover: 672 pages; Publisher: Bradford Book; (March 16, 1995); ISBN: 0262011441

Fundamentals of Neural Networks
(by Laurene Fausett) Hardcover: 461 pages; Publisher: Prentice Hall; 1st edition (January 15, 1994); ISBN: 0133341860

Understanding 99% of Artificial Neural Networks: Introduction & Tricks
(by Marcelo Bosque) Paperback: 145 pages; Publisher: Writers Club Press; (March 1, 2002); ISBN: 0595219969

Pattern Recognition
(by Sergios Theodoridis, Konstantinos Koutroumbas) Hardcover: 640 pages; Publisher: Academic Press; 2nd edition (February 2003); ISBN: 0126858756

Pattern Recognition and Neural Networks
(by Brian D. Ripley) Hardcover: 403 pages; Publisher: Cambridge University Press; (October 1, 1995); ISBN: 0521460867

Feedforward Neural Network Methodology
(by Terrence L. Fine) Hardcover: 340 pages; Publisher: Springer-Verlag; 1 edition (May 1, 1999); ISBN: 0387987452

Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
(by Russell D. Reed, Robert J. II Marks, Robert J. Marks) Hardcover: 352 pages; Publisher: Bradford Book; (March 26, 1999); ISBN: 0262181908

Kernel Methods for Pattern Analysis
(by John Shawe-Taylor, Nello Cristianini) Hardcover: 476 pages; Publisher: Cambridge University Press; (July 1, 2004); ISBN: 0521813972

An Introduction to Support Vector Machines
(by Nello Cristianini, John Shawe-Taylor) Hardcover: 189 pages; Publisher: Cambridge University Press; 1st edition (March 1, 2000); ISBN: 0521780195

Self-Organizing Maps
(by Teuvo Kohonen, T. S. Huang, M. R. Schroeder) Paperback: 521 pages; Publisher: Springer-Verlag; 3rd edition (December 28, 2000); ISBN: 3540679219

Self-Organizing Map Formation: Foundations of Neural Computation
(by Klaus Obermayer, Terrence J. Sejnowski) Paperback: 440 pages; Publisher: Bradford Book; 1st edition (October 1, 2001); ISBN: 0262650606

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
(by Vojislav Kecman) Hardcover: 608 pages; Publisher: Bradford Book; (March 19, 2001); ISBN: 0262112558

Machine Learning
(by Tom M. Mitchell) Hardcover: 432 pages; Publisher: McGraw-Hill; (March 1, 1997); ISBN: 0070428077

Artificial Intelligence: A Modern Approach
(by Stuart J. Russell, Peter Norvig) Hardcover: 1132 pages; Publisher: Prentice Hall; 2nd edition (December 20, 2002); ISBN: 0137903952

Perceptrons: An Introduction to Computational Geometry
(by Marvin Minsky, Seymour Papert) Paperback: 275 pages; Publisher: MIT Press; Expanded edition (December 28, 1987); ISBN: 0262631113

Including Implementations

Advanced Algorithms for Neural Networks: A C++ Sourcebook
(by Timothy Masters) Paperback: 448 pages; Publisher: John Wiley & Sons Inc; Book&Disk edition (April 3, 1995); ASIN: 0471105880

Practical Neural Network Recipies in C++
(by Timothy Masters) Paperback: 493 pages; Publisher: Morgan Kaufmann Publishers; Book & Disk 1st edition (March 1, 1993); ISBN: 0124790402

Object-Oriented Neural Networks in C++
(by Joey Rogers) Paperback: 300 pages; Publisher: Morgan Kaufmann Publishers; Book & Disk 1st edition (October 1, 1996); ISBN: 0125931158

Pattern Recognition with Neural Networks in C++
(by Abhijit S. Pandya, Robert B. Macy) Hardcover: 410 pages; Publisher: CRC Press; (October 17, 1995); ISBN: 0849394627

Statistically Oriented

The Nature of Statistical Learning Theory
(by Vladimir N. Vapnik) Hardcover: 214 pages; Publisher: Springer-Verlag; 2nd edition (December 1, 1999); ISBN: 0387987800

Statistical Learning Theory
(by Vladimir N. Vapnik) Hardcover: 736 pages; Publisher: Wiley-Interscience; (September 16, 1998); ISBN: 0471030031

Information Theory, Inference & Learning Algorithms
(by David J. C. MacKay) Hardcover: 550 pages; Publisher: Cambridge University Press; 1st edition (June 15, 2002); ISBN: 0521642981

The Elements of Statistical Learning
(by T. Hastie, R. Tibshirani, J. H. Friedman) Hardcover: 552 pages; Publisher: Springer-Verlag; (August 9, 2001); ISBN: 0387952845

Statistical Pattern Recognition, 2nd Edition
(by Andrew R. Webb) Paperback: 534 pages; Publisher: John Wiley & Sons; 2 edition (October 15, 2002); ISBN: 0470845147

Learning Bayesian Networks
(by Richard E. Neapolitan) Hardcover: 674 pages; Publisher: Prentice Hall; 1st edition (April 1, 2003); ISBN: 0130125342

Learning in Graphical Models (Adaptive Computation and Machine Learning)
(by Michael Irwin Jordan) Paperback: 648 pages; Publisher: MIT Press; 1st edition (November 27, 1998); ISBN: 0262600323

Useful Mathematical Books

Matrix Analysis
(by Roger A. Horn, Charles R. Johnson) Paperback: 575 pages; Publisher: Cambridge University Press; Reprint edition (February 23, 1990)

Topics in Matrix Analysis
(by Roger A. Horn, Charles R. Johnson) Paperback: 615 pages; Publisher: Cambridge University Press; New edition (June 24, 1994)

Convex Analysis and Minimization Algorithms
(by Jean-Baptiste Hiriart-Urruty, Claude Lemarechal) Hardcover: 444 pages; Publisher: Springer-Verlag; 2nd corr. print edition (January, 1996)

Data Mining

Principles of Data Mining (Adaptive Computation and Machine Learning)
(by David J. Hand, Heikki Mannila, Padhraic Smyth) Hardcover: 425 pages; Publisher: Bradford Books (August 1, 2001)

Data Mining: Concepts, Models, Methods, and Algorithms
(by Mehmed Kantardzic) Paperback: 360 pages; Publisher: Wiley-IEEE Press (October 18, 2002)

Data Mining: Concepts and Techniques
(by Jiawei Han, Micheline Kamber) Hardcover: 500 pages; Publisher: Morgan Kaufmann; 1st edition (August, 2000)

Data Mining: Multimedia, Soft Computing, and Bioinformatics
(by Sushmita Mitra, Tinku Acharya) Hardcover: 424 pages; Publisher: John Wiley & Sons (September 12, 2003)

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
(by Ian H. Witten, Eibe Frank) Paperback: 416 pages; Publisher: Morgan Kaufmann; 1st edition (October 11, 1999)

Mining the Web: Analysis of Hypertext and Semi Structured Data
(by Soumen Chakrabarti) Hardcover: 344 pages; Publisher: Morgan Kaufmann; 1st edition (August 15, 2002)

Modeling the Internet and the Web: Probabilistic Methods and Algorithms
(by Pierre Baldi, Paolo Frasconi, Padhraic Smyth) Hardcover: 285 pages; Publisher: John Wiley & Sons (May 28, 2003)

Text Mining: Predictive Methods for Analyzing Unstructured Information
(by Sholom Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau) Hardcover: 237 pages; Publisher: Springer-Verlag (October 1, 2004)