遗传算法,实现的是一个猜答案的过程， 这种算法比较经典，可以借鉴...

将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数，利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索，将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.

简单遗传算法(SGA)源程序-simple genetic algorithm (SGA) source

转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现，把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into the training data. m*. load the document, Central to the paper load*. m to save Inventory test data for the paper test data bp predictive value, The procedure can be expanded to import n, n output, it is easy

： 移动机器人路径规划是机器人学的一个重要研究领域。 针对移动场地的特点对其进行了建 模与存储，然后将场地处理成简单的连通图-: Mobile robot path planning is an important study robot research field. Characteristics for mobile sites for their modeling and storage, and then deal with the venue into a simple connected graph

自适应变步长定向变异遗传算法解函数优化问题 需要调用GAOT5.-Adaptive Variable step directional variation of genetic algorithm optimization solutions function call GAOT5 needs.

基于Matlab的函数优化遗传算法程序 .-based on Matlab function of genetic algorithm optimization procedures.

实现了一个简单的花朵进化的模拟过程。 花朵的种群数量是10，共进化了50代。 -The realization of a simple simulation of the evolution of flowers. Flower populations is 10, a total of 50 on behalf of evolution.

一种很实用的SVM工具箱,具有较快的运算速度,有详细的使用说明和例子!-a very practical SVM Toolbox is faster computing speed, a detailed description and examples of use!

多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual

神经网络预测程序代码 -Neural network code