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Description: 利用PSO优化SVM，利用分组式训练方法提高算法速度
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Size: 111805 |
Author: zhangqing |
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Description: 此为有关粒子群算法的比较权威的书，内部由关于此算法的C源程序-here for the PSO algorithm authoritative book on the internal algorithm from the C source
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Size: 1897472 |
Author: jhon |
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Description: 向大家推荐非常好的粒子群优化算法讲解，简单、易懂。-we recommend to you a very good PSO algorithm brief, simple, easy to understand.
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Size: 153600 |
Author: 杨延西 |
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Description: pso优化BP算法,别人写的东东,加入数据后可运行-pso BP optimization algorithm, written by the Eastern others, joined the operational data
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Size: 2048 |
Author: yanwuyuan |
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Description: 一篇关于pso粒子群算法的应用的论文，详细讲解了粒子群优化算法。-on pso a PSO application papers, gave a detailed account of the PSO algorithm.
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Size: 15360 |
Author: 张清 |
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Description: 一本关于粒子群算法的书，适合初学者希望大家喜欢！-one of the PSO's book for beginners hope you like them!
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Size: 1998848 |
Author: qq |
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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.
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Size: 179200 |
Author: zhaoxiufen |
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Description: 改进型pso ,可以在matlab7.0环境下运行,其他版本的还未运行过,不能保证-Improved pso, can run matlab7.0 environment, other versions have not yet run, does not guarantee
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Size: 26624 |
Author: eva lin |
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Description: 基于PSO训练SVM的人脸识别
利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA feature extraction method, applied to face recognition, the method in experiments to identify the performance of a good performance for the field of face recognition has provided a new way to identify
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Size: 1097728 |
Author: 彭伟 |
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Description: 粒子群算法与支持向量机的结合，用粒子群算法快速寻找支持向量机的最优参数。-Particle swarm optimization with support vector machines with particle swarm optimization with support vector machines quickly find the optimal parameters.
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Size: 1024 |
Author: 海廷 |
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Description: 基本pso程序，是改进的pso算法程序，别的函数只要套用就可以了！-pso
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Size: 1034240 |
Author: maoyunfei |
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Description: A distributed PSOSVM hybrid system with feature selection and parameter optimization
-Abstract
This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to
improve the classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the
continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO–SVM
data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a
heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the
client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also
achieve high classification accuracy.
# 2007 Elsevier B.V. All rights reserved.
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Size: 565248 |
Author: alice |
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Description: 基于PSO-SVM的短期交通流预测方法，是毕业设计参考的文献，希望对做同一课题的同学有帮助-PSO-SVM-based short-term traffic flow prediction methods, and graduated from the design reference literature to help students do the same subject
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Size: 182272 |
Author: zhanghu |
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Description: code pso-svm matlab for optimazation.
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Size: 113664 |
Author: zohre |
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Description: A distributed PSO–SVM hybrid system with feature selection and parameter optimization
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Size: 4758528 |
Author: Mery |
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Description: 粒子群优化算法优化支持向量机（PSO-SVM)-Particle swarm optimization algorithm optimize the SVM
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Size: 8192 |
Author: 张飞宇 |
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Description: 实现多输入单输出的预测功能，预测精度高，程序操作简单，易于修改应用。(The prediction function of multi input and single output is realized. The prediction accuracy is high, the program operation is simple, and it is easy to modify the application.)
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Size: 6144 |
Author: isweetsmile
|
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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.)
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Size: 19456 |
Author: 心静2279 |
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Description: 基于支持向量机负荷功率预测，使用粒子群算法进行参数寻优，供参考(Load Forecasting Based on Support Vector Machine)
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Size: 61440 |
Author: AnthonyLIU |
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Description: 使用PSO优化SVR支持向量机模型的代码，有详细的输出及输出，以及代码说明(Use PSO to optimize SVR support vector machine model code, with detailed output and output, as well as code description)
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Size: 1024 |
Author: YYYONG2018 |
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