Neural network and fuzzy logic applications in C/C++

From the Publisher: Many books discuss the theory of neural and fuzzy systems, but this is the only one that gives you everything you need to actually design and implement neural and fuzzy programs for real-world scientific, engineering, and financial applications. Each chapter is self-contained and takes the reader through all the steps - from data preparation to the presentation of results - necessary to develop a complete working application, many of which feature interactive graphics. In addition to basics such as backpropagation for feedforward networks, the book also covers a number of advanced methods, including genetic algorithms, simulated annealing, and conjugate gradient methods. A complete, step-by-step guide to developing fuzzy and neural applications; applications for financial forecasting, modeling of chaotic dynamics, pattern classification, and control of unstable systems; provides a wealth of sample code for all applications; critically evaluates how well each application works; and features a guide to creating a complete object-oriented interactive interface framework through which all applications can be run.