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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Predictive Modular Neural Networks
• Subtitle: Applications to Time Series
• Author: Vassilios Petridis, Athanasios Kehagias
• Language: English
• Binding: Hardback
• Number of pages: 314
• EAN: 9780792382904
• ISBN: 0792382900
• ID: 01397534
• Publisher: Springer
• Weight: 1420 g
• Dimensions: 235 × 155 × 22 mm
• Date of publishing: 30. September 1998

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