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Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks

Farid U. Dowla, Leah L. Rogers




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 | #5654586 in Books |  1996-01-04 | Original language:English | PDF # 1 |  10.00 x1.10 x7.00l,1.70 | File type: PDF | 310 pages

||0 of 0 people found the following review helpful.| a very helpful book for scientists who want to use ANN in Engineering|By George Papaevangelou|A very helpful book for scientists who want to use ANN in Engineering.
The right proportionality of theory and practical development!|About the Author|Farid U. Dowla and Leah L. Rogers are research scientists in the Earth Sciences Division of Lawrence Livermore National Laboratory. Farid Dowla leads the Artificial Intelligence-Signal Processing Team for the Treaty Verification and Nonprolifera

Artificial Neural Networks (ANNs) offer an efficient method for finding optimal cleanup strategies for hazardous plumes contaminating groundwater by allowing hydrologists to rapidly search through millions of possible strategies to find the most inexpensive and effective containment of contaminants and aquifer restoration. ANNs also provide a faster method of developing systems that classify seismic events as being earthquakes or underground explosions.

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