Variables Screening Method Based on the Algorithm of Combining Fruit Fly Optimization Algorithm and RBF Neural Network

Fu Qiang Xu; You Tian  Tao

doi:10.4028/www.scientific.net/AMR.756-759.3225

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Variables Screening Method Based on the Algorithm...

Variables Screening Method Based on the Algorithm of Combining Fruit Fly Optimization Algorithm and RBF Neural Network

Abstract:

The form of fruit fly optimization algorithm (FOA) is easy to learn and has the characteristics of quick convergence and not readily dropping into local optimum. This paper presents the optimization of RBF neural network by means of FOA and establishment of network model, adopting it with the combination of the evaluation of the mean impact value (MIV) to select variables. The validity of this model is tested by two actual examples, furthermore, it is simpler to learn, more stable and practical.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3225-3230

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3225

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Online since:

September 2013

Authors:

Fu Qiang Xu, You Tian Tao

Keywords:

FOA, MIV, Parameter Optimization, RBF Neural Network, Variables Screen

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References

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