Editorial

Journal of Hydrologic Engineering

Volumn 5, Issue 3, 2000, Pages 225-226

  Govindaraju, R S ^a   Ramachandra Rao, A ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85001833223     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(2000)5:3(225)     Document Type: Editorial

References (12)

1. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000a). “Artificial neural networks in hydrology. I: Preliminary concepts.” J. Hydrologic Engrg., ASCE, 5(2), 115-123.
2. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000b). “Artificial neural networks in hydrology. II: Hydrologic applications.” J. Hydrologic Engrg., ASCE, 5(2), 124-137.
3. Dowla, F. U., and Rogers, L. L. (1995). Solving problems in environmental engineering and geosciences with artificial neural networks, MIT Press, Cambridge, Mass.
4. Govindaraju, R. S., and Rao, A. R., eds. (2000). Artificial neural networks in hydrology, Kluwer Academic, Boston, in press.
5. Haykin, S. (1994). Neural networks: A comprehensive foundation, MacMillan, New York.
6. Hopfield, J. J. (1982). “Neural networks and physical systems with emergent collective computational abilities.” Proc., Nat. Acad. of Scientists, 79, 2554-2558 (reprinted in Anderson and Rosenfeld, 1988, 460-464).
7. Islam, S., and Kothari, R. (2000). “Artificial neural networks in remote sensing of hydrologic processes.” J. Hydrologic Engrg., ASCE, 5(2), 138-144.
8. McCulloch, W. S., and Pitts, W. (1943). “A logic calculus of the ideas immanent in nervous activity.” Bull. Math. Biophys., 5, 115-133.
9. Ray, C., and Klindworth, K. K. (2000). “Neural networks for agrichemical vulnerability assessment of rural private wells.” J. Hydrologic Engrg., ASCE, 5(2), 162-171.
10. Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986). “Learning internal representations by error propagation.” Parallel distributed processing, Vol. 1, MIT Press, Mass., 318-362.
11. Shin, H.-S., and Salas, J. D. (2000). “Regional drought analysis based on neural networks.” J. Hydrologic Engrg., ASCE, 5(2), 145-155.
12. Tokar, A. S., and Markus, M. (2000). “Precipitation-runoff modeling using artificial neural networks and conceptual models.” J. Hydrologic Engrg., ASCE, 5(2), 156-161.