Research on Control Strategy of Intelligent Vehicle Autonomous Learning Based on Neural Network Algorithm

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With the development of the automobile industry and the intelligent automobile, people's demand for the comfort of the car is improved, so the comfort of the smart car needs to be reasonably controlled. In this paper, the intelligent control method based on neural network algorithm is used to control the influence parameters of damping force of shock absorber. Memory architecture is established to store memory, genetic algorithm is utilized to optimize and judge which endows the car with the ability of autonomous learning. The theoretical study shows that the judgment ability and accuracy of comfort adjustment can be improved effectively by the optimization of genetic algorithm combined with neural network.