Predictive Modular Neural Networks: Applications to Time Series - Softcover
Book 95 of 260: The Springer International Series in Engineering and Computer Science
Synopsis
Preface. 1. Introduction. Part 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. Part 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. Part III: Unknown Sources. 10. Source Identification Algorithms. 11. Convergence of Parallel Data Allocation. 12. Convergence of Serial Data Allocation. Part IV: Connections. 13. Bibliographic Remarks. 14. Epilogue. Appendices. References. Index.
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