Predictive Modular Neural Networks
Subtitle: Applications to Time Series
By: by Vassilios Petridis, Athanasios Kehagias
Contributors: Kehagias, Athanasios
Series: The Springer International Series in Engineering and Computer Science -- 466; International series in engineering and computer science -- 466.
Publisher: Springer US
Published: 1998
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 314
ISBN-13: 9781461375401; 9781461555551
Subjects: Computer engineering; Physics; Data structures (Computer science); Mechanical engineering
Description: This book presents a unified methodology for designing modular neural networks. A family of online algorithms for time series classification, prediction and identification are developed; and a rigorous mathematical analysis of their properties is provided. Case studies involving a number of real-world problems are also presented. Finally, an overview of the modular neural networks literature, including coverage of theoretical and experimental analysis, is provided. Predictive Modular Neural Networks: Applications to Time Series is an important reference work for engineers, computer scientists, and other researchers working in time series analysis, neural networks, control engineering, data mining and other intelligent and decision support areas. The book will also be of interest to researchers in biological and medical informatics.
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