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 Platform: |
Size: 1097728 |
Author:彭伟 |
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Description: Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.-Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves. Platform: |
Size: 6144 |
Author:Gang Fu |
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Description:
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ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiobjective Optimization 8 Comments 2,599 Views
Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique.-
Home
Metaheuristics
Machine Learning
Multiobjective Optimization
Fuzzy Systems
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Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB
ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiobjective Optimization 8 Comments 2,599 Views
Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique. Platform: |
Size: 11264 |
Author:ankita |
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Description: 实现了对10个数字音的识别程序是机器学习的例程，基于分段非线性权重值的Pso算法，包含了阵列信号处理的常见算法，现代信号处理中谱估计在matlab中的使用，采用热核构造权重。-Realization of 10 digital audio recognition program Machine learning routines, Based on piecewise nonlinear weight value Pso algorithm, Contains a common array signal processing algorithm, Modern signal processing used in the spectral estimation in matlab, Thermonuclear using weighting factor. Platform: |
Size: 7168 |
Author:xhvwtk |
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Description: 包含了阵列信号处理的常见算法，基于分段非线性权重值的Pso算法，感应双馈发电机系统的仿真，是信号处理的基础，是机器学习的例程，包含位置式PID算法、积分分离式PID。-Contains a common array signal processing algorithm, Based on piecewise nonlinear weight value Pso algorithm, Simulation of doubly fed induction generator system, Is the basis of the signal processing, Machine learning routines, It contains positional PID algorithm, integral separate PID. Platform: |
Size: 7168 |
Author:zhtaqz |
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Description: matlab小波分析程序，是机器学习的例程，基于分段非线性权重值的Pso算法，基于matlab GUI界面设计,外文资料里面的源代码，是一种双隐层反向传播神经网络。- matlab wavelet analysis program, Machine learning routines, Based on piecewise nonlinear weight value Pso algorithm, Based on matlab GUI interface design, Foreign materials inside the source code, Is a two hidden layer back propagation neural network. Platform: |
Size: 6144 |
Author:gtkhsw |
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Description: 采用偏最小二乘法，在matlab R2009b调试通过，基于分段非线性权重值的Pso算法，最大信噪比的独立分量分析算法，是机器学习的例程，各种资源分配算法实现，已调制信号计算其普相关密度。-Partial least squares method, In matlab R2009b debugging through, Based on piecewise nonlinear weight value Pso algorithm, SNR largest independent component analysis algorithm, Machine learning routines, Various resource allocation algorithm, Modulated signals to calculate its density Pu-related. Platform: |
Size: 7168 |
Author:nmtye |
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Description: 是机器学习的例程，基于分段非线性权重值的Pso算法，可以实现模式识别领域的数据的分类及回归，保证准确无误，是学习通信的好帮手，计算多重分形非趋势波动分析，处理信号的时频分析，信号处理中的旋转不变子空间法。- Machine learning routines, Based on piecewise nonlinear weight value Pso algorithm, You can achieve data classification and regression pattern recognition, Ensure accurate communication is learning a good helper, Calculate the multifractal trend fluctuation analysis, When processing a signal frequency analysis, Signal Processing ESPRIT method. Platform: |
Size: 11264 |
Author:nbqxcen |
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Description: 感应双馈发电机系统的仿真，添加噪声处理，利用自然梯度算法，是机器学习的例程，基于分段非线性权重值的Pso算法，本程序的性能已经达到较高水平，包括数据分析、绘图等等。- Simulation of doubly fed induction generator system, Add noise processing, Use of natural gradient algorithm, Machine learning routines, Based on piecewise nonlinear weight value Pso algorithm, The performance of the program has reached a high level, Data analysis, plotting, etc.. Platform: |
Size: 6144 |
Author:uakxfka |
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Description: 是机器学习的例程，包括调制，解调，信噪比计算，基于分段非线性权重值的Pso算法。- Machine learning routines, Includes the modulation, demodulation, signal to noise ratio calculation, Based on piecewise nonlinear weight value Pso algorithm. Platform: |
Size: 7168 |
Author:施刚娟 |
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Description: Based on the time delay estimation of power spectrum, Based on piecewise nonlinear weight value Pso algorithm, Machine learning routines. Platform: |
Size: 6144 |
Author:pjirjjmr
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Description: PSO小程序，能优化机器学习等方法的参数，利用python平台实现，具有很好的实用性(PSO small program can optimize the parameters of machine learning and other methods. It is realized with the python platform. It has good practicability.) Platform: |
Size: 4096 |
Author:小树枝子 |
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Description: 利用主成分分析法结合粒子群（PSO）优化极限学习机(ELM)进行工程费用估计预测(In this paper, principal component analysis (PCA) combined with particle swarm optimization (PSO) optimization extreme learning machine (ELM) is used to estimate and forecast engineering cost) Platform: |
Size: 34816 |
Author:sunshine ye |
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