A fuzzy-filtered grey network technique for system state forecasting
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605469296 | ||
| 003 | CHVBK | ||
| 005 | 20210128100321.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20151201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1281-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1281-1 | ||
| 245 | 0 | 2 | |a A fuzzy-filtered grey network technique for system state forecasting |h [Elektronische Daten] |c [Dezhi Li, Wilson Wang, Fathy Ismail] |
| 520 | 3 | |a A fuzzy-filtered grey network (FFGN) technique is proposed in this paper for time series forecasting and material fatigue prognosis. In the FFGN, the fuzzy-filtered reasoning mechanism is proposed to formulate fuzzy rules corresponding to different data characteristics; grey models are used to carry out short-term forecasting corresponding to different rules. A novel hybrid training method is proposed to adaptively update model parameters and improve training efficiency. The effectiveness of the developed FFGN is demonstrated by a series of simulation tests. It is also implemented for material fatigue prognosis. Test results show that the developed FFGN predictor can capture data characteristics effectively and forecast data trend accurately. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Fuzzy-filtered neural networks |2 nationallicence | |
| 690 | 7 | |a Grey model |2 nationallicence | |
| 690 | 7 | |a Material fatigue prognosis |2 nationallicence | |
| 700 | 1 | |a Li |D Dezhi |u Department of Mechanical and Mechatronics Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada |4 aut | |
| 700 | 1 | |a Wang |D Wilson |u Department of Mechanical Engineering, Lakehead University, P7B 5E1, Thunder Bay, ON, Canada |4 aut | |
| 700 | 1 | |a Ismail |D Fathy |u Department of Mechanical and Mechatronics Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/12(2015-12-01), 3497-3505 |x 1432-7643 |q 19:12<3497 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1281-1 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1281-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Li |D Dezhi |u Department of Mechanical and Mechatronics Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Wilson |u Department of Mechanical Engineering, Lakehead University, P7B 5E1, Thunder Bay, ON, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ismail |D Fathy |u Department of Mechanical and Mechatronics Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/12(2015-12-01), 3497-3505 |x 1432-7643 |q 19:12<3497 |1 2015 |2 19 |o 500 | ||