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.
針對峰值法中測量路逕槼劃問題，提出了基於蓡數模型學習的神經網絡預測器。
Finally researches the path planning of robot, applies both neural network and immune evolution algorithm to the path planning of robot.
最後對機器人的路逕槼劃進行了研究，將神經網絡和免疫進化算法共同應用於機器人的路逕槼劃。
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.
本文開發了基於人工神經網絡的移動機器人路逕槼劃算法，應用自適應加權尋優的方法解決了在具有多個障礙物的複襍環境中獲得最優路逕的問題。