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Description: 全局收敛的PSO算法,可用于智能运算开发-Global convergence of the PSO algorithm can be used for the development of intelligent computing
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Size: 3072 |
Author: gao |
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Description: 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，是英文-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing of least squares support vector machine parameters of self-selection method, is in English
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Size: 343040 |
Author: 毛毛 |
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Description:
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Size: 807936 |
Author: guojingiing |
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Description: 粒子群优化参数的LSSVM，并对啤酒数据进行分类-PSO LS SVM parameters, data classification and beer
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Size: 10240 |
Author: 杨 |
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Description: 利用改进PSO算法对LS-SVM进行参数优化，参数 和 的取值范围分别为 和 ，粒子种群数量为 25，迭代次数为 100，惯性权重因子 和 取0.9和0.1，学习因子 和 均取2。-The parameters of PS-SVM are optimized by using the improved PSO algorithm. The range of parameters is 25, the number of particles is 25, the number of iterations is 100, the inertia weighting factor is 0.9 and 0.1, and the learning factor is 2
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Size: 10240 |
Author: 张亚男 |
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Description: 经过优化得到的参数组，利用优化的参数构建LS-SVM模型，然后使用训练样本对其进行训练。
利用训练后的LS-SVM对测试样本进行分类，-The optimized parameters are used to construct the LS-SVM model with optimized parameters, and then trained using training samples.
Using the trained LS-SVM to classify the test samples,
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Size: 9216 |
Author: 张亚男 |
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