a Tankedaizhan source code, suitable for beginners VC, and I hope to help you!

在matlab6.5下实现的 -achieved in the matlab6.5

为遗传算法提供基类，该基类将评价函数值直接作为适合度，采用新个体直接替换老个体的整体再生法 -genetic algorithm to provide the base class, the base class will be evaluated as a direct function of fitness, Individual direct new replacing the old individual"s overall regeneration

一个自主机器人的电力传输线检查可引起电压的输电线路作为电源来源提出。该机器人采用电流互感器的主要促使目前从输电线路和远见功能浏览。结果表明，该机器人可以 自动沿着输电线路。-An autonomous robot for the power transmission line inspection that can induce the voltage from the transmission line as a power source is presented. The robot uses current transformer principal to induce the current from power transmission line and vision function to navigate. The results have shown that the robot can automatically move along the power transmission line.

神经网络与免疫算法的结合，用matlab编程实现小功能-Neural network with a combination of immune algorithm with a small functional programming matlab

BOLTZMAN（vc＋＋编写的程序神经网络程序）

有关RBF的参考文献，希望能够给你带来一定的帮助-RBF-related references, hoping to give you some help

双向广搜求解八数码问题,双向广搜求解八数码问题-Collected eight two-way digital problem solving, two-way collected eight digital problem solving

fisher c算法-fisher c algorithm

自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..

普通的pid控制数字化，可以使用效果好-ordinary pid control digital, you can use good results