neural network path planning

基本解釋

Aiming at measuring path planning by using peak value, neural network predictor based on parameter model is presented.
針對(duì)峰值法中測(cè)量路徑規(guī)劃問(wèn)題，提出了基于參數(shù)模型學(xué)習(xí)的神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)器。
Finally researches the path planning of robot, applies both neural network and immune evolution algorithm to the path planning of robot.
最后對(duì)機(jī)器人的路徑規(guī)劃進(jìn)行了研究，將神經(jīng)網(wǎng)絡(luò)和免疫進(jìn)化算法共同應(yīng)用于機(jī)器人的路徑規(guī)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(kāi)發(fā)了基于人工神經(jīng)網(wǎng)絡(luò)的移動(dòng)機(jī)器人路徑規(guī)劃算法，應(yīng)用自適應(yīng)加權(quán)尋優(yōu)的方法解決了在具有多個(gè)障礙物的復(fù)雜環(huán)境中獲得最優(yōu)路徑的問(wèn)題。