A Research on the Application of Kohonen Neural Network to the Corrosion and Testing of Vehicle Equipment

Abstract:

Based directly on the neural network weights from testing and evaluating the coatings on real vehicle equipment, by inputting the values of the EIS characteristic parameter received from the real vehicle testing, memorizing the neural network weights under guideless training, it provides a quick and convenient method to evaluate the protective performance of vehicle equipment coatings, and thus the quick testing of the corrosion severity of vehicle equipment can be achieved.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 875-878
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.875
• Online since: June 2013
• Authors: An Tao Xu, Bing Luo, Fan Zhang, Fu Jin, Tian Ru Zhang
• Keywords: Corrosion Testing, Kohonen Neural Network, Vehicle Equipment

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