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Prediction capability of neural networks trained by Monte-Carlo paradigm
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Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice table of contents
Indianapolis, Indiana, United States
Pages: 9 - 13  
Year of Publication: 1993
ISBN:0-89791-567-4
Authors
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Citation Count: 2
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Barinaga, M. "Neuroscience Models the Brain", Science 247, February 2, 1990, pp 524-527.
 
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Hashemi R, Jelovsek F.R., Razzaghi M., "Developmental Toxicity Risk Assessment: A Rough Sets Approach", The International Journal of Methods of Infommtion in Medicine (in press).
 
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Hashemi, R. and Stafford, N. "A Back-propagation Neural Network for Risk Assessment", Proceedings of the 1993 IEEE International Phoenix Conference on Computers and Communications (IPCCC), Scottsdle, Arizona, Feb. 1993 (in press).
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Kirkpatrick S., Gelatt C. Jr., and Vecchi M., "Optimization by simulated annealing", Journal of Science 220, 1983, pp. 671-680.
 
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Klimuauskas C. "Applying Neural Networks", PC AI, May/June 1991. pp. 20-24


Collaborative Colleagues:
Ray R. Hashemi: colleagues
Aslam H. Chowdhury: colleagues
Nancy L. Stafford: colleagues
John R. Talburt: colleagues

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