DocumentCode
288810
Title
Neural network approach in failure characteristic analysis associated with boom containment
Author
Yu, F.Y.
Author_Institution
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL
Volume
5
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
3318
Abstract
The use of boom structures has been recognized as an efficient method for cleaning up oil spills; however, non-Newtonian characteristic involved in high-viscosity oils results in obstacle to any theoretical boom containment analysis. This paper addresses a neural network approach for failure characteristic analysis associated with boom containment of high-viscosity oils
Keywords
environmental science computing; failure analysis; neural nets; water pollution control; boom containment; failure characteristic analysis; high-viscosity oils; non-Newtonian characteristic; oil spill cleaning; water pollution; Backpropagation; Character recognition; Cleaning; Equations; Failure analysis; Intelligent networks; Internal stresses; Neural networks; Petroleum; Viscosity;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374768
Filename
374768
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