Neural, Novel & Hybrid Algorithms for Time Series Prediction

by Timothy Masters

Covering both the practical application of traditional prediction methods and Master's own innovative techniques featuring neural and fuzzy algorithms, this outstanding guide provides concepts, approaches, and implementation plus software and tools that will aid readers in not only developing successful applications but in selecting the right methods for a variety of problems. Each subject is treated in an intuitive manner, appealing to the reader's common sense and experience. The mathematical foundations of the subject are rigorously summarized with references to additional advanced sources supplied as needed. Complete C++ source code illustrates practical implementation details and, for more important or obscure techniques, actual data is used in example applications.

514 pages, Paperback

First published October 6, 1995