Predictive Modular Neural Networks

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.

שנה

1998

שפה

English

סדרה

The Springer International Series in Engineering and Computer Science -- 466

הוצאה

Springer US

מהדורות

2

עמודים

314

ISBN

9781461375401

מקור הנתונים: Wikidata