NDLI: The selection of spread and the application in engineering of GRNN

Content Provider	IEEE Xplore Digital Library
Author	Di Sheng-jie Xu Wei-ya Wei Qiang
Copyright Year	2010
Description	Author affiliation: Research Institute of Geotechnical Engineering, Hohai University, Nanjing, China (Di Sheng-jie; Xu Wei-ya) \|\| Department of Engineering, Hydrochina Kunming Engineering Corporation, China (Wei Qiang)
Abstract	The algorithm of the generalized regression neutral network (GRNN) is introduced. Compares and analysis with superiorities and characteristics between GRNN and BPNN. The effects and choices of spread are discussed. It is very important to confirm the value of spread. Appropriate value of spread is searched out from all specimens based on the LOO across validate method. A simple example is given to prove the accurate value of spread can improve the generalization ability of the network. The method of GRNN is applied to the examples of slope stability evaluation, it is concluded that GRNN modeling is simpler and more accurate than BPNN in prediction and analysis of slope stability. Artificial neural network algorithm has been widely used in engineering, and GRNN will be accepted for engineers more easily as a means of more advanced algorithms. It will play an increasingly important role in the non-linear calculations.
Starting Page	5508
Ending Page	5511
File Size	309980
Page Count	4
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5691380
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Spread Artificial neural networks Soil Predictive models Prediction algorithms Stability analysis Slope stability evaluation GRNN Diseases Generalization ability
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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