The Application of Fuzzy Neural Networks Based on Genetic Optimization Algorithm in Intelligent Vehicle Speed Control System

摘要

In order to let intelligent vehicle which have time variant and nonlinear characteristics run at enough high speed and automatically adapt to changing circums-tances, using fuzzy neural network based on genetic algorithm to classify the stalls of the speed control system and adjust the system parameters value .It overcomes the drawbacks of nonlinear and time variant. Ultimately intelligent vehicle is able to automatically classify the stalls and give an optimized speed. Simulation results show that the algorithm can greatly improve the intelligent vehicle's speed and the system has strong robustness.