Neural-Network models of rainfall-runoff process

Journal of Water Resources Planning and Management

Volumn 121, Issue 6, 1995, Pages 499-508

  Smith, Jason ^a   Eli, Robert N ^a  

^a WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; DISCHARGE (FLUID MECHANICS); NEURAL NETWORKS; PATTERN RECOGNITION; REMOTE SENSING; RUNOFF; STREAM FLOW; TIME SERIES ANALYSIS; WATERSHEDS;

STOCHASTICALLY GENERATED RAINFALL PATTERNS;

RAIN;

BACK PROPAGATION; FOURIER SERIES; MODEL; NEURAL NETWORK; PEAK DISCHARGE; RAINFALL/RUNOFF;

EID: 0029416249     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9496(1995)121:6(499)     Document Type: Article

References (24)

1. Bras, R. L. (1990). Hydrology, an introduction to hydrologic science, 1st Ed., Addison-Wesley Publishing Co., Reading, Mass.
2. Chen, C. H., ed. (1991). Neural networks in pattern recognition and their applications, World Scientific, Singapore.
3. Cheng, K. S., and Shih, S. F. (1992). “Rainfall area identification using GOES satellite data.” J. Irrig. and Drain. Engrg., 118(1), 179–190.
4. Dayhoff, J. (1990). Neural network architectures, an introduction, Van Nostrand Reinhold, New York, N.Y.
5. Duchon, C. E., Salisbury, J. M., Williams, T. H., and Nicks, A. D. (1992). “An example of using Landsat and GOES Data in a Water Budget Model.” Water Resour. Res., 28(2), 527–538.
6. Hirose, Y., Yamashita, K., and Hijiya, S. (1991). “Back-propagation algorithm which varies the number of hidden units.” Neural Networks, 4, 61–66.
7. James, W. P., Robinson, C. G., and Bell, J. F. (1993). “Radar-assisted real-time flood forecasting.” J. Water Resour. Plng. and Mgmt., ASCE, 119(1), 32–44.
8. Karnin, E. D. (1990). “A simple procedure for pruning back-propagation trained neural networks.” IEEE Trans. on Neural Networks, 1(2), 239–242.
9. Kite, G. W. (1991). “A watershed model using satellite data applied to a mountain basin in Canada.” J. Hydrol., 128, 157–169.
10. Lippman, R. (1987). “An introduction to computing with neural nets.” IEEE ASSP Mag., 4, 4–22.
11. Mathews, J. H. (1992). Numerical methods for mathematics, science, and engineering, 2nd Ed., Prentice Hall, Englewood Cliffs, N.J.
12. McCuen, R. H., and Snyder, W. M. (1986). Hydrologic modeling, statistical methods and applications, 1st Ed., Prentice Hall, Englewood Cliffs, N.J.
13. Minai, A. A., and Williams, R. D. (1990). “Acceleration of back-propagation through learning rate and momentum adaptation.” Int. Joint Conf. Neural Networks. Lawrence Erlbaum Assoc., Hillsdale, N.J., Vol. 1, 676–679.
14. Mirchandani, G., and Cao, W. (1989). “On hidden nodes for neural nets,” IEEE Trans. of Circuits and Systems, 36(5), 661–664.
15. Ponce, V. M. (1989). Engineering hydrology, principles and practices, 1st Ed., Prentice Hall, Inc., Englewood Cliffs, N.J. First edition.
16. Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986). “Learning internal representation by error propagation.” Parallel distributed processing, Vol. 1: foundations, D. E. Rumelhart and J. L. McClelland, eds., MIT Press, Cambridge, Mass.
17. Simpson, P. (1990). Artificial neural systems, Pergamon Press, New York, N.Y.
18. Singh, V. P. (1988a). “Rainfall-Runoff Modeling, Vol. 1.” Hydrologic Systems, 1st Ed., Prentice Hall, Englewood Cliffs, N.J.
19. Singh, V. P. (1988b). “Watershed Modeling, Vol. 2.” Hydrologic Systems, 1st Ed., Prentice Hall, Englewood Cliffs, N.J.
20. Smith, J. (1992). “Streamflow forecasting using a backpropagation neural network,” M.S. thesis, West Virginia Univ., Morgantown, W.Va.
21. Spencer, R. W., Goodman, H. M., and Hood, R. E. (1989). “Precipitation retrieval over land and ocean with the SSM/I: identification and characteristics of the scattering signal.” J. Atmospheric and Ocean Technol., 6(2), 254–273.
22. Viessman, W., Lewis, G. L., and Knapp, J. W. (1989). Introduction to hydrology, 3rd Ed., Harper and Row, Publishers, Inc.
23. Widrow, B. (1989). “Current and past applications of neural networks to adaptive control problems.” Invited Lecture, West Virginia Univ., College of Engineering, Sept. 27, 1989.
24. Zurada, J. M. (1992). Introduction to artificial neural systems. West Publishing Co., St. Paul, Minn.