Mohamed,
A lot of general information and references related to ANNs are available
at URL: ftp://ftp.sas.com/pub/neural/FAQ.html
As you probably have seen in the hydrologic literature, ANNs seem to have
been more commonly applied to surface water or climatic phenomena.
However, below are some references where they have been applied to ground
water. There probably are more, but these are some I have happened to
come across:
Journal articles with ground water applications:
Bhatt, Alpana, and Helle, H.B., 2002, Committee neural networks for
porosity and permeability prediction from well logs: Geophysical
Prospecting, v. 50, p. 645-660.
Coppola, E.A., Rana, A.J., Poulton, M.M., Szidarovszky, Ferenc, and Uhl,
V.W., 2005, A neural network model for predicting aquifer water level
elevations: Ground Water, v. 43, no. 2, p. 231-241.
Coppola, E.A., Szidarovszky, Ferenc, Poulton, M.M., and Charles, Emmanuel,
2003, Artificial neural network approach for predicting transient water
levels in a multilayered groundwater system under variable state, pumping,
and climate conditions: Journal of Hydrologic Engineering, v. 8, no. 6, p.
348-360.
Gautam, M.R., Watanabe, Kunio, and Saegusa, Hiromitsu, 2003, Analysis of
hydraulic pressure fluctuation in deep geologic formations in Tono area,
Japan using artificial neural networks: Journal of Hydrology, v. 284, p.
174-192.
Jain, S.K., Singh, V.P., and van Genuchten, M.Th., 2004, Analysis of soil
water retention data using artificial neural networks: Journal of
Hydrologic Engineering, v. 9, no. 5, p. 415-420.
Mishra, Arabinda, Ray, Chittaranjan, and Kolpin, D.W., 2004, Use of
qualitative and quantitative information in neural networks for assessing
agricultural chemical contamination of domestic wells: Journal of
Hydrologic Engineering, v. 9, no. 6, p. 502-511.
Ranjithan, S., Eheart, J.W., and Garrett, Jr., J.H., 1993, Neural
network-based screening for groundwater reclamation under uncertainty:
Water Resources Research, v. 29, no. 3, p. 565-574.
Schmitz, G.H., Puhlmann, H., Droge, W., and Lennartz, F., 2005, Artificial
neural networks for estimating soil hydraulic parameters from dynamic flow
experiments: European Journal of Soil Science, v. 56, no. 1, p. 19-30.
Also, here's a couple general ANN and data mining books:
Dowla, F.U., and Rogers, L.L., 1995, Solving problems in environmental
engineering and geosciences with artificial neural networks: Cambridge,
Mass., MIT Press, 239 p.
Weiss, S.H., and Indurkhya, Nitin, 1998, Predictive data mining: A
practical guide: San Francisco, Calif., Morgan Kaufmann Publishers, Inc.,
225 p.
Best of luck with your research....
Andy
__________________________________________
Andrew M. O'Reilly, Hydrologist
U.S. Geological Survey
Florida Integrated Science Center
224 West Central Parkway, Suite 1006
Altamonte Springs, FL 32714
ph - 407.865.7575 x131 / fax - 407.865.6733
"All men's miseries derive from not being able to
sit quiet in a room alone." Blaise Pascal (1623-1662)
"Pride is concerned with who is right. Humility is
concerned with what is right." Ezra Taft Benson (1899-1994)
mohamed nassar <ma_nassar2001@...>
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[hydrologymodel] Artificial Neural Networks (ANNs) and Genetic Algorithms
(GAs)
Dear Friends and Colleagues,
I hope you've all been keeping well. I am Ph.D student in Egypt. I am
working in groundwater Hydraulic. I need any references, papers, articles,
documents, ...etc in using evolutionary computational techniques such as
Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) with
groundwater modeling system (quality and quantity) to develop the
computational framework and the optimization approach. Also, any simple
reference about principles of ANNs and GAs.
Looking forward to hearing from all.
Thanks in advance
Mohamed Kamal Nassar, Assistant Lecturer
Evaluation of Natural Resources Department
32897 Environmental Studies & Researches Institute
Minufiya University
Sadat City, Egypt