运动学分析

代码说明：

  并联机构求正解 用遗传算法来对神经网络算法的权值选取过程进行优化，既能缩短训练时间，提高网络收敛速度，又可以有效避免训练中陷入局部最优解。(According to solving results, the solving precision of neural network algorithm which is optimized by genetic algorithm is able to reach nanoscale and has a higher solving precision and a faster solving speed than Newton iteration method and neural network algorithm.)

文件列表：

3-3.fig, 56435858 , 2016-06-21
ga_bpa (2).m, 1943 , 2016-06-21
gabpEvala (2).m, 113 , 2016-06-21
gadecoda (2).m, 651 , 2016-06-21
n.m, 317 , 2016-06-20
newtonDerivative.m, 97 , 2016-06-21
newtonfunction.m, 523 , 2016-06-21
newtoniteration.m, 345 , 2016-06-21
ni1.m, 403 , 2016-04-11
新建 文本文档.txt, 639 , 2016-06-21
神经网络算法.mat, 13203 , 2016-06-21
神经网络训练数据.mat, 16089 , 2016-06-21
误差及计算数据.mat, 2107 , 2016-06-21
遗传算法.mat, 13187 , 2016-06-21