C/C++, Programming - General & Miscellaneous, General Software Engineering, Neural Networks

Neural, Novel & Hybrid Algorithms for Time Series Prediction

Name: Neural, Novel & Hybrid Algorithms for Time Series Prediction
Author: Timothy Masters
ISBN: 9780471130413

by Timothy Masters

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Overview

Expert Timothy Masters provides you with carefully paced, step-by-step advice and guidance plus the proven tools and techniques you need to develop successful applications for business forecasting, stock market prediction, engineering process control, economic cycle tracking, marketing analysis, and more. CD-ROM includes NPREDICT - both DOS and Windows NT versions - a powerful time series program that can be customized to make accurate predictions in any application area, and much useful source code, including the complex-general multivariate fast Fourier transform in both C++ and Pentium-optimized assembler.

Covering both the practical application of traditional prediction methods and Masters' own techniques featuring neural and fuzzy algorithms, this book provides concepts, methods, and implementation in one volume, plus software and tools that will aid the developer not only in developing successful applications, but in choosing the right approaches to a variety of problems.