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calculator
- 本程序能实现： 1)常用的四则运算（+ - * / ），三角（ sin(),cos(),tan(),cot()）,反三角（asin(),acos(),atan(),acot()）, 乘方(^) , 开方( sqrt() ) ,指数（exp()）, 对数（ ln(),log() ）. 2)支持变量赋值,变量的覆盖和运算. 3)支持对向量的 + - .* 和共向量的简单赋值运算. 希望大家参考后加以改进!优化代码!
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- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
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- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing least squares support vector machine parameters from selection method
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- 相似度算法，主要是用来优化支持向量机来进行分类识别-Similarity algorithm is mainly used to optimize support vector machines for classification and identification
PSO
- 粒子群优化支持向量机算法，里面有具体的例子，可以很好的学习-Particle swarm optimization algorithm for support vector machines, there are specific examples of good learning
svmpso
- 有关支持向量机的优化算法，可是支持向量机提高准确率及速度-About the support vector machine optimization algorithm, but support vector machine to improve the accuracy and speed
gaSVMcgForClass
- 使用基因遗传算法优化支持向量机参数，进而准确快速分类-Using genetic algorithms to optimize the parameters of support vector machine, and then quickly and accurately classified
chapter13_GA
- 对最小二乘支持向量机的核函数进行参数优化，最后得到分类更加准确的分类器-For least squares support vector machine (SVM) kernel function parameter optimization, finally get a more accurate classification of classifier
BP.SVM
- 这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
PSO-SVM
- 粒子群优化算法优化支持向量机（PSO-SVM)-Particle swarm optimization algorithm optimize the SVM
psoSVM
- 利用粒子群优化算法优化支持向量机的惩罚参数Cg，提高效率、准确率。-Particle swarm optimization algorithm to optimize SVM penalty parameter Cg, improve efficiency and accuracy.
foa-svr
- 基于果蝇的算法优化支持向量回归的matlab程序，包括txt版本和matlab中m文件(Matlab algorithm based on fruit fly algorithm optimized support vector regression, including the txt version and Matlab m file)