neural network path planning

基本解释

Aiming at measuring path planning by using peak value, neural network predictor based on parameter model is presented.
针对峰值法中测量路径规划问题，提出了基于参数模型学习的神经网络预测器。
Finally researches the path planning of robot, applies both neural network and immune evolution algorithm to the path planning of robot.
最后对机器人的路径规划进行了研究，将神经网络和免疫进化算法共同应用于机器人的路径规划。
This paper develops a moveable robot path-planning algorithm based on artificial neural network and it solves the problem of finding optimal path in complex environment with many obstacles.
本文开发了基于人工神经网络的移动机器人路径规划算法，应用自适应加权寻优的方法解决了在具有多个障碍物的复杂环境中获得最优路径的问题。