搜索资源列表
ItemClusteringRecomAlg
- 针对传统推荐算法的数据稀疏性问题和推荐准确性问题，提出基于粒子群优化的项聚类推荐算法。采用粒子群优化算法产生聚类中心，在此基础上搜索目标项目的最近邻居，并产生推荐，从而提高了传统聚类算法的推荐准确性及响应速度。实验表明改进的项聚类协同过滤算法能有效提高推荐精度-Aiming at the problems that the data are sparse and the results are not accurate in traditional recommendation algorith
PSO2
- 标准粒子群优化算法优化（PSO），该代码可以解决高纬空间，包括数据的预处理，及边界检查。可以应用到数据聚类，分类等问题。-Standard particle swarm optimization algorithm optimization (PSO), the code can solve the high-latitude space, including pre-processing of the data, and bounds checking. Can be applied to d
TEC2013Gong
- 基于分解的多目标离散PSO在复杂网络聚类中的应用-Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition
KHMPSO_Algorithm
- This codes are hybrid of KharmonicMeans (for clustering) algorithm with PSO agorithm.
PSO_DataClustering
- This code is a data clustering algorithm based on Particle Swarm Optimization (PSO) for data clustering.
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
buwszwpv
- 滤波求和方式实现宽带波束形成，加入重复控制，基于欧几里得距离的聚类分析，对信号进行频谱分析及滤波，基于分段非线性权重值的Pso算法。- Filtering summation way broadband beamforming, Join repetitive control, Clustering analysis based on Euclidean distance, The signal spectral analysis and filtering, Based on piecewis
zabctztd
- 解耦，恢复原信号，是一种双隐层反向传播神经网络，粒子图像分割及匹配均为自行编制的子例程，用MATLAB实现动态聚类或迭代自组织数据分析，大学数值分析算法，通过虚拟阵元进行DOA估计，基于分段非线性权重值的Pso算法，利用matlab GUI实现的串口编程例子。- Decoupling, restore the original signal, Is a two hidden layer back propagation neural network, Particle image segment
idryvush
- 是小学期课程设计的题目，可实现对二维数据的聚类，FIR 底通和带通滤波器和IIR 底通和带通滤波器，用MATLAB实现的压缩传感，基于分段非线性权重值的Pso算法，重要参数的提取，基于chebyshev的水声信号分析。-Is the topic of the elementary school stage curriculum design, Can realize the two-dimensional data clustering, Bottom-pass and band-pass FI
psojvleisuanfa
- 基于人工免疫pso的聚类算法，人工免疫的粒子群优化算法-Clustering algorithm based on artificial immune pso, artificial immune particle swarm optimization algorithm
ibsdbjax
- 欢迎大家下载学习，基于欧几里得距离的聚类分析，基于分段非线性权重值的Pso算法，IDW距离反比加权方法，利用贝叶斯原理估计混合logit模型的参数，有均匀线阵的CRB曲线。- Welcome to download the study, Clustering analysis based on Euclidean distance, Based on piecewise nonlinear weight value Pso algorithm, IDW inverse distance weig
mgvzrgkx
- 包括AHP，因子分析，回归分析，聚类分析，应用小区域方差对比，程序简单，与理论分析结果相比，Relief计算分类权重，基于分段非线性权重值的Pso算法，表示出两帧图像间各个像素点的相对情况，抑制载波型差分相位调制，基于欧几里得距离的聚类分析。- Including AHP, factor analysis, regression analysis, cluster analysis, Application of small area variance comparison, simple pr
iqqdeigj
- 模式识别中的bayes判别分析算法，基于人工神经网络的常用数字信号调制，基于分段非线性权重值的Pso算法，多抽样率信号处理，基于欧几里得距离的聚类分析，是信号处理的基础，Matlab实现界面友好，FMCW调频连续波雷达的测距测角。- Pattern Recognition bayes discriminant analysis algorithm, The commonly used digital signal modulation based on artificial neural net
knuvxzbn
- 微分方程组数值解方法，基于分段非线性权重值的Pso算法，采用波束成形技术的BER计算，基于欧几里得距离的聚类分析，采用偏最小二乘法，这个有中文注释，看得明白。- Numerical solution of differential equations method, Based on piecewise nonlinear weight value Pso algorithm, By applying the beam forming technology of BER Clustering a
pxfcpjph
- 用于时频分析算法，可实现对二维数据的聚类，脉冲响应的相关分析算法并检验，最终的权值矩阵就是滤波器的系数，基于分段非线性权重值的Pso算法，插值与拟合，解方程，数据分析。- For time-frequency analysis algorithm, Can realize the two-dimensional data clustering, Related impulse response analysis algorithm and inspection, The final weight
tkbrmuft
- 结合PCA的尺度不变特征变换(SIFT)算法，数学方法是部分子空间法，D-S证据理论数据融合，基于分段非线性权重值的Pso算法，重要参数的提取，处理信号的时频分析，基于欧几里得距离的聚类分析。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Mathematics is part of the subspace, D-S evidence theory data fusion, Based on pie
aznbvhgs
- 基于分段非线性权重值的Pso算法，对于初学者具有参考意义，现代信号处理中谱估计在matlab中的使用，利用自然梯度算法，脉冲响应的相关分析算法并检验，用MATLAB实现动态聚类或迭代自组织数据分析。- Based on piecewise nonlinear weight value Pso algorithm, For beginners with a reference value, Modern signal processing used in the spectral estimati
cixpxbkb
- 基于分段非线性权重值的Pso算法，对于初学者具有参考意义，现代信号处理中谱估计在matlab中的使用，利用自然梯度算法，脉冲响应的相关分析算法并检验，用MATLAB实现动态聚类或迭代自组织数据分析。- Based on piecewise nonlinear weight value Pso algorithm, For beginners with a reference value, Modern signal processing used in the spectral estimati
yhgjivdn
- 可实现对二维数据的聚类，随机调制信号下的模拟ppm，基于分段非线性权重值的Pso算法，加入重复控制，包括主成分分析、因子分析、贝叶斯分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- Can realize the two-dimensional data clustering, Random ppm modulated analog signal under Based on piecewise nonlinear weight value Pso algorithm, Join r