Rail transit is an important mode of transportation in urban construction. In recent years, China has put forward higher requirements for subway, light rail and other public transport tools. In order to improve the stability of rail transit, the support vector machine algorithm is used to improve the fault diagnosis ability to facilitate people. This paper mainly uses experimental method and comparison method to support vector machine, GA algorithm and other algorithms in track road diagnosis. The experimental results show that the recognition rate of some faults can reach 100%, which shows that the design scheme in this paper has some reference significance.

Rizwan Viju. Track Circuit Fault Diagnosis Method Based on Support Vector Machine Algorithm. Machine Learning Theory and Practice (2021), Vol. 2, Issue 4: 42-50. https://doi.org/10.38007/ML.2021.020406.

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