Dynamic neuro-fuzzy local modeling system with a nonlinear feature extraction for the online adaptive warning system of river temperature affected by waste cooling water discharge

Stochastic Environmental Research and Risk Assessment

Volumn 26, Issue 7, 2012, Pages 947-960

  Hong, Yoon Seok Timothy ^a   Bhamidimarri, Rao ^a  

^a LONDON SOUTH BANK UNIVERSITY   (United Kingdom)

Author keywords

Cooling water discharge; Dynamic neuro fuzzy local modeling system (DNFLMS); Gamma test; Nonlinear feature extraction; Online river temperature prediction; Thermal power station

Indexed keywords

COOLING WATER DISCHARGES; GAMMA TEST; NEURO-FUZZY; NONLINEAR FEATURE EXTRACTION; RIVER TEMPERATURE; THERMAL POWER STATIONS;

BACKPROPAGATION ALGORITHMS; COOLING WATER; EXTENDED KALMAN FILTERS; FEATURE EXTRACTION; FORECASTING; RIVERS; SIGNAL FILTERING AND PREDICTION; THERMOELECTRIC POWER PLANTS;

LEARNING ALGORITHMS;

ADAPTIVE MANAGEMENT; BACK PROPAGATION; CLUSTER ANALYSIS; COOLING; FUZZY MATHEMATICS; INTERNET; KALMAN FILTER; RIVER DISCHARGE; WARNING SYSTEM; WATER TEMPERATURE;

EID: 84866461926     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-011-0543-z     Document Type: Article

References (29)

1. Bacanli UG, Firat M, Dikbas F (2009) Adaptive neuro-fuzzy inference system for drought forecasting. Stoch Environ Res Risk Assess 23(8): 1143-1154.
2. Brocard DN, Harleman DRF (1976) One-dimensional temperature predictions in unsteady flows. J Hydraul Eng 102(HY3): 227-240.
3. Brown RD, Ouellette RP, Chermisinoff PN (1983) Pollution control at electric power stations: comparisons for U. S. and Europe. Butterworth-Heinemann, Boston.
4. Chang F-J, Chang Y-T (2006) Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Adv Water Resour 29: 1-10.
5. Chaves P, Kojiri T (2007) Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks. Adv Water Resour 30(5): 1329-1341.
6. Dixon B (2005) Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis. J Hydrol 309: 17-38.
7. Evans D, Jones AJ (2002) A proof of the Gamma test. Proc R Soc Ser A 458: 2759.
8. Friedman JH, Bentley JL, Finkel RA (1979) An algorithm for finding best matches in logarithmic expected time. ACM Trans Math Softw 3(3): 209-226.
9. Fu DZ, Li YP, Huang GH (2011) A fuzzy-Markov-chain-based analysis method for reservoir operation. Stoch Environ Res Risk Assess. doi: 10. 1007/s00477-011-0497-1.
10. Gelb A (1974) Applied optimal estimation. MIT Press, Cambridge.
11. Haykin S (1994) Neural networks: a comprehensive foundation. Prentice Hall, Englewood Cliffs.
12. Hong Y-ST, White P (2009) Hydrological modeling using a dynamic neuro-fuzzy system with online and local learning algorithm, Adv Water Resour. doi: 10. 1016/j. advwatres. 2008. 10. 006.
13. Hong Y-S, Rosen MR, Reeves R (2002) Dynamic fuzzy modeling of storm water infiltration in urban fractured aquifers. J Hydrol Eng 7(5): 380-391.
14. Jang J-SR (1993) ANFIS: adaptive-network-based fuzzy inference systems. IEEE Trans Syst Man Cybern 23: 665-685.
15. Jobson HE, Keefer TN (1979) Modeling highly transient flow, mass and heat transport in the Chattahoochee River near Atlanta, Georgia. U. S. Geol. Surv. Prof. Pap. 1139.
16. Jones AJ, Evans D, Margetts S, Durrant PJ (2002) The Gamma test. In: Sarker R et al (eds) Heuristic and optimization for knowledge discovery. Idea Group Publishing, Hershey.
17. Kasabov N, Song Q (2002) DENFIS: dynamic, evolving neural-fuzzy inference systems and its application for time-series prediction. IEEE Trans Fuzzy Syst 10(2): 144-154.
18. Langford TE (1990) Ecological effects of thermal discharges. Elsevier, New York.
19. Langford TE, Aston RJ (1972) The ecology of some British rivers in relation to warm water discharges from power stations. Proc R Soc Lond B 180: 407-419. doi: 10. 1098/rspb. 1972. 0027.
20. Lin CT, Lee CSG (1996) Neuro fuzzy system. Prentice Hall, Englewood Cliffs.
21. Maybeck PS (1982) Stochastic models, estimation and control, vol 2. Academic, New York.
22. Polehn RA, Kinsel WC (1997) Transient temperature solution for stream flow from a controlled temperature source. Water Resour Res 33(1): 261-265.
23. Sinokot BA, Stefan HG (1993) Stream temperature dynamics: measurement and modeling. Water Resour Res 29(7): 2299-2312.
24. Song Q, Kasabov N (2001) ECM-a novel online, evolving clustering method and its applications. In: ANNES 2001, Dunedin, New Zealand, pp 87-92.
25. Stefánsson A, Koncar N, Antonia JJ (1997) A note on the Gamma test. Neural Comput Appl 5(3): 131-133.
26. Sun C (1994) Rule-base structure identification in an adaptive network based inference system. IEEE Trans Fuzzy Syst 2(1): 64-73.
27. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15: 116-132.
28. Theurer FD, Voos KA, Miller WJ (1984) Instream Water Temperature Model. Instream Flow Information Paper 16, FWS/OBS-84/15. U. S. Fish and Wildlife Service.
29. Wang L, Mendel JM (1992) Fuzzy basis functions, universal approximation, and orthogonal least squares. IEEE Trans Neural Netw 3(5): 807-814.