Research on the Neural Network Learning Evaluation Model of Meteorological Technical Personnel

Xu Hua Deng; Xiang Gen Gan; Ren Wu

doi:10.4028/www.scientific.net/AMM.602-605.3100

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on the Neural Network Learning Evaluation...

Research on the Neural Network Learning Evaluation Model of Meteorological Technical Personnel

Abstract:

With the increasingly salient social influence of virtual practice, personalized lifelong learning concept could be realized through network platform. The new learning environment and platform generate the new evaluation system and model. The working experience and features of network learning of the meteorological technical personnel determine the difference between network evaluation model and the traditional summative evaluation system.. The nonlinearity between input vector and output vector also determines the neural network learning evaluation model orientation. The training and simulation show that the network learning evaluation achieves its best effect when the hidden node is 4.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3100-3103

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3100

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Online since:

August 2014

Authors:

Xu Hua Deng*, Xiang Gen Gan, Ren Wu

Keywords:

Application Cases, Learning Algorithm, Network Evaluation Model

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* - Corresponding Author

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