000			01889cam a2200313 i 4500
001			3089675
003			CL-VaUT
005			20230228152859.0
008			980731s1998 us a b 001 0 eng
020			_a9781461375401
040			_aDLC _bspa
082	0	0	_a006.32 _221 _bP495
100	1		_aPetridis, Vassilios _9142253 _eautor
245	1	0	_aPredictive modular neural networks : _bapplications to time series / _cVassilios Petridis and Athanasios Kehagias
264		1	_aBoston : _bKluwer Academic Publishers, _c1998
300			_axi, 314 páginas : _bilustraciones
336			_2rdacontent _atexto _btxt
337			_2rdamedia _ano mediado _bn
338			_2rdacarrier _avolumen _bnc
490			_aThe Kluwer international series in engineering and computer science _vSECS 466
505			_aPreface. 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.
521			_aCOBERTURA BIBLIOGRAFICA: INF382 Asignatura: Introducción a la simulación estocástica y modelos predictivos
590			_aÚltima actualización 27 de abril 2022
650		0	_aREDES NEURONALES (ciencia de la computación) _9120415
700	1		_aKehagias, Athanasios _9142254 _eautor
856			_uhttps://bibliotecadigital.usm.cl/info/00917796 _zVERSIÓN DIGITAL
942			_2DEWEY _cBRB
998			_bjsm
999			_c122552 _d122551