本书介绍了一些关于机器人的识别技术，值得学习和借鉴，作为基础资料不错...

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

利用SOM（Self-Organization Map）数据聚类方法，包含点数据集的坐标，并以TChart分组为例进行说明。

基本遗传算法 里面的函数可自行更换 适合初学者 容易理解-A function of the basic genetic algorithm which can be suitable for beginners is easy to understand on their own replacement

数据挖掘k-measextions 算算法，改进了其中部分结构。-Data Mining k-measextions counting algorithm, to improve some part of the structure.

基于旋量的机器人运动学及动力学分析，是一种新的研究机器人运动学及动力学的方法-Based on spinor analysis of robot kinematics and dynamics

这个是matlab的BP 神经网络-This is matlab" s BP neural network. . . . . . . . . . . . .

神经网络C程序的第9章-neural network C procedures for the Chapter 9

rbf网络一步预测matlab程序 精度还不错 很好用的 -rbf network matlab procedure step forecast accuracy is also very good with the bad

JVT-Z203_jsvm.rar

lvq神经网络 的编程 希望大家能用的上-lvq neural network programming hope everyone can be on the