Rail transit operation safety evaluation method based on GA-BP neural network
A GA-BP and rail transit technology, applied in the field of safety engineering, can solve problems such as difficult parameter determination, limited training samples, and reduced prediction accuracy, so as to improve accuracy and objectivity, reduce manual evaluation workload, and reduce subjective influence Effect
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[0030] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0031] like figure 1 Shown is the flow chart of the rail transit operation safety evaluation based on GA-BP neural network according to the present invention.
[0032] The safety evaluation model based on GA-BP neural network established by taking 25 data of 30 data of a rail transit line in Ningbo as the learning sample input is used for learning and training. By inputting the influencing factors (scientific indicators) to be evaluated (verification samples), the evaluation of the overall state of rail transit operation safety is obtained.
[0033] Specific implementation steps:
[0034]Step 1: Determine the index system (influencing factors) of the safety status of rail transit operation, review the actual safety situation of rail transit operation and relevant laws and regulations and literature, proceed from the actual safety production...
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