Overview

This text 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. The text is a 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 should also be of interest to researchers in biological and medical informatics.

Full Product Details

Author:   Vassilios Petridis ,  Athanasios Kehagias
Publisher:   Springer
Imprint:   Springer
Edition:   1998 ed.
Volume:   466
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.420kg
ISBN:  

9780792382904

ISBN 10:   0792382900
Pages:   314
Publication Date:   30 September 1998
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction.- 1.1 Classification, Prediction and Identification: an Informal Description.- 1.2 Part I: Known Sources.- 1.3 Part II: Applications.- 1.4 Part III: Unknown Sources.- 1.5 Part IV: Connections.- I Known Sources.- 2. Premonn Classification and Prediction.- 3. Generalizations of the Basic Premonn.- 4. Mathematical Analysis.- 5. System Identification by the Predictive Modular Approach.- II Applications.- 6. Implementation Issues.- 7. Classification of Visually Evoked Responses.- 8. Prediction of Short Term Electric Loads.- 9. Parameter Estimation for and Activated Sludge Process.- III Unknown Sources.- 10. Source Identification Algorithms.- 11. Convergence of Parallel Data Allocation.- 12. Convergence of Serial Data Allocation.- IV Connections.- 13. Bibliographic Remarks.- 14. Epilogue.- Appendices.- A— Mathematical Concepts.- A.1 Notation.- A.2 Probability Theory.- A.3 Sequences of Bernoulli Trials.- A.4 Markov Chains.- References.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions