The Gradual Optimization of Grounding Grip Corrosion Rate Forecasting Model

Ai Jun Yan; Jing Yi Du; Rui Liu; Na Li; Xiao Hua Tang; Lei Liu; Zhi Zhong Li

doi:10.4028/www.scientific.net/AMM.330.1075

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 330The Gradual Optimization of Grounding Grip...

The Gradual Optimization of Grounding Grip Corrosion Rate Forecasting Model

Abstract:

A forecasting model of the gradual optimization algorithm is established to predict substation grounding grip corrosion rate. In this model, according to the “Over Fitting” phenomenon in the neural network limited soil corrosion sample data are randomly combined and the training stops when the training error and validation error are equal. The model of smaller errors will be chosen as the optimal model. As shown in the simulation, the general performance and fitting accuracy from the forecasting model meet requirements.

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Periodical:

Applied Mechanics and Materials (Volume 330)

Pages:

1075-1079

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.330.1075

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Online since:

June 2013

Authors:

Ai Jun Yan, Jing Yi Du, Rui Liu, Na Li, Xiao Hua Tang, Lei Liu, Zhi Zhong Li

Keywords:

Forecasting Model, Gradual Optimization, Grounding Grip Corrosion Rate, Training Error, Validation Error

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