Editorial Reviews
Book 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.
Book Info
Presents a unified methodology for designing modular neural networks. An important reference work for engineers, computer scientists, & other researchers working in time series analysis, neural networks, control engineering, data mining & other intelligent & decision support areas.
Predictive Modular Neural Networks: Applications to Time Series (The International Series in Engineering and Computer Science),Vassilios Petridis,Athanasios Kehagias,Springer,0792382900,Artificial Intelligence - General,Computer Books: General,Computer Science,Computers,Computers - General Information,Engineering - Mechanical,Networking - General,Neural networks (Computer scie,Neural networks (Computer science),Physics,Science,Neural networks,Science / Physics
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