Description: 该算法为基于克隆选择原理的人工免疫算法。算法有三部分，第一部分为传统的遗传算法，第二部分CSA算法，两方法对一些函数求极值，可比较各自的特点。-based on the algorithm for clonal selection theory of artificial immune algorithm. Algorithms have three parts, the first part of the traditional genetic algorithm, the second part of the CSA algorithm, two methods of function for some extreme, comparable own characteristics. Platform: |
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Author:wlh |
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Description: 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. Platform: |
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Author:zhaoxiufen |
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Description: 提出了一个新的超声缺陷自动识别系统。该系统采用小波包分解提取超声信号的特征,采用混沌遗传算法来消除冗余和不相关的特征,并采用支持向量机(SVM) 来对缺陷进行识别。-Proposed a new ultrasonic flaw Automatic Identification System. The system uses wavelet packet decomposition extract the characteristics of ultrasonic signals using chaos genetic algorithm to eliminate redundant and irrelevant features, and using support vector machine (SVM) to identify defects. Platform: |
Size: 195584 |
Author:zhaoxiufen |
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Description: 自适应遗传算法 求解函数最小值，在MATLAB环境下-Adaptive Genetic Algorithm for the minimum function in the MATLAB environment Platform: |
Size: 38912 |
Author:邵斓 |
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Description: 遗传算法工具箱的应用，有典型的示范案例，有一定参考意义。-Application of genetic algorithm toolbox, a typical model case, a certain reference value. Platform: |
Size: 6144 |
Author:潘锋权 |
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Description: 文件中包含某老师关于智能优化计算课程中的遗传算法部分的讲义，其中包含详细的例子及源代码。-File contains a calculation of the teachers on the intelligent optimization of the genetic algorithm curriculum part of the lecture, which includes detailed examples and source code. Platform: |
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Author:周钟 |
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Description: 用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作-Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run directly. UCI data sets used in the german data set, and complete normalization operation Platform: |
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Author:覃茂运 |
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Description: 遗传算法工具箱以及用遗传算法找最优值，主函数是zuiyou.m-Genetic Algorithm Toolbox and using genetic algorithms to find optimal values, the main function is zuiyou.m Platform: |
Size: 11264 |
Author:周玉 |
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Description: 遗传算法的详细过程，对初学者很有用希望对需要的人能有帮助-The detailed process of genetic algorithm, useful for beginners who want to need to have help Platform: |
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Author:hou |
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Description: 提出一种基于支持向量机( SVM)和遗传算法(GA)的离散余弦变换(DCT)域盲数字图像水印方法. 该方法能自适应于图像的局部特征. 依据图像块的局部特性,利用SVM对图像块分类,自适应地确定水印嵌入强度, GA用来优化水印嵌入位置. 实验结果表明该方法有较好的不可见性和较强对抗攻击的鲁棒性.-Based on support vector machine (SVM) and genetic algorithm (GA), discrete cosine transform (DCT) domain blind digital image watermarking method. The method adaptive to local image features. Based on the local characteristics of image block using the SVM the image block classification, adaptive to determine the embedding strength, GA to optimize the watermark embedding location. The experimental results show that the method has good invisibility and robustness of the strong against the attacks. Platform: |
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Author:郭事业 |
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Description: SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code. Platform: |
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Author:秀 |
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Description: its the matlab coding for pattern recoganization in image processing using genetic algorithm-its the matlab coding for pattern recoganization in image processing using genetic algorithm Platform: |
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Author:suresh |
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Description: 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based
on adaptive genetic algorithm
支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但
是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果,
而且采用人工的方法选择 SVM 参数比较浪费时间, 这在很大程度上限制了它的应用. 为了能够自动地获得最佳的
SVM 参数, 提出了基于自适应遗传算法的 SVM 参数选取方法. 该方法根据适应度值自动调整交叉概率和变异概率,
减少了遗传算法的收敛时间并且提高了遗传算法的精度, 从而确保了 SVM 参数选择的准确性. 将该方法应用于船用
锅炉汽包水位系统建模, 仿真结果表明由该方法所得的 SVM 具有较简单的结构和较好的泛化能力, 仿真精度高, 具
有一定的理论推广意义.- The support vector m achine ( SVM ) is a prom ising artificia l inte lligence technique, in w hich the regres
sion a lgorithm has a lready been used to so lve the nonlinear function approach successfully. Un fortunate ly, m ost us
ers se lect param eters for an SVM by ru le o f thumb, so they frequently fail to generate the optim al approach ing e ffect
for the function. Th is has restricted effective use o f SVM to a great degree. In order to get optim a l param eters auto
m atically, a new approach based on an adaptive genetic a lgorithm ( AGA ) is presented, w hich autom atica lly ad
justs the param eters for SVM. This m ethod se lects crossover probability and mutation probab ility accord ing to the
fitness va lues of the object function, therefo re reduces the convergence tim e and im proves the prec ision o fGA, in
suring the accuracy of param eter se lection. Th is m ethod w as applied to m odeling of w ater level system o f a sh ip
b Platform: |
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Author: |
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Description: 遗传算法优化支持向量机的惩罚系数C与高斯核系数g，能够提高支持向量机的分类精度-Genetic algorithm to optimize the punish coefficient of support vector machine (SVM) with gaussian kernel coefficient C g, can improve the support vector machine (SVM) classification accuracy Platform: |
Size: 2048 |
Author:T和 |
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Description: 将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.) Platform: |
Size: 19456 |
Author:心静2279 |
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Search - genetic algorithm svm