Predictive modular neural networks : applications to time series /
Vassilios Petridis and Athanasios Kehagias
- xi, 314 páginas : ilustraciones
- The Kluwer international series in engineering and computer science SECS 466 .
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.
COBERTURA BIBLIOGRAFICA: INF382 Asignatura: Introducción a la simulación estocástica y modelos predictivos