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apso
- 改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。-improved PSO -- Adaptive PSO. In a normal PSO which joined the entropy and the average particle from the concept of convergence speed, it is not easy to find the global opti
PSOandsdive.rar
- 运用微粒群算法求解改进的二维熵最大值算法，对于医学图像分割非常有用,Using the PSO algorithm to calculate the maximum of the improve 2D entropy value
Swarm_Optimization_Algorithm_with_C
- 改进的粒子群算法--自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，用C实现-Improved particle swarm- adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, with the C implementation
Adaptive_particle_swarm_algorithm
- 自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。-Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergenc
Entropy-and-chaos-based-on-fuzz-Havrda_Charv_t-PSO
- 基于模糊Havrda_Charv_t熵与混沌PSO算法的红外人体图像分割-Entropy and chaos based on fuzzy Havrda_Charv_t PSO algorithm image segmentation of infrared body
maxentropypso
- helps to find the maximum entropy value to be optimised using PSO. Produces good results than ostu method
Gray-entropy-two-threshold--pso
- 双阈值的灰度熵方法，结合pso算法，分割效果较好，速度较快。-Gray entropy of the dual-threshold method, combined with the pso algorithm split better and faster.
colorSegmentation
- 基于极大熵准则，通过改进型粒子群算法对图像进行多阈值分割，并与其他分割算法对比。 函数说明： main函数为主程序，无返回值和参数，可直接运行。运行结果将调用colorSegmentation()函数和PSO()函数-Based on maximum entropy criterion, through improved particle swarm optimization (pso) algorithm for image threshold segmentation, and c
PSOandsdive
- 运用微粒群算法求解改进的二维熵最大值算法，对于医学图像分割非常有用-Using the PSO algorithm to calculate the maximum of the improve 2D entropy value
psothreetwoentropic
- PSO算法应用到图像三阈值分割，评价函数为二维最大熵-PSO algorithm is applied to image three threshold segmentation, the evaluation function for the two-dimensional maximum entropy
psotwotwoentropic
- PSO算法应用到图像二阈值分割，评价函数为二维最大熵-PSO algorithm is applied to image two threshold segmentation, the evaluation function for the two-dimensional maximum entropy
PSO-SampEn--ApproxiEN-RVM
- PSO：粒子群优化算法，用C++和matlab两种语言实现的 RVM:相关向量机，比SVM更高级些 样本熵和近似熵：计算动态系统中时间序列的一个重要手段-PSO: PSO algorithm, using C++ and matlab realization of two languages RVM: relevance vector machine, some more advanced than SVM Sample entropy and approximate ent
cqqqmstm
- 感应双馈发电机系统的仿真，基于分段非线性权重值的Pso算法，预报误差法参数辨识-松弛的思想，能量熵的计算，实现串口的数据采集。- Simulation of doubly fed induction generator system, Based on piecewise nonlinear weight value Pso algorithm, Prediction Error Method for Parameter Identification- the idea of relaxatio
kxwzsrxa
- DC-DC部分采用定功率单环控制，能量熵的计算，IDW距离反比加权方法，基于分段非线性权重值的Pso算法，包含特征值与特征向量的提取、训练样本以及最后的识别。- DC-DC power single-part set-loop control, Energy entropy calculation, IDW inverse distance weighting method, Based on piecewise nonlinear weight value Pso algorithm, Con
hibacknm
- 基于分段非线性权重值的Pso算法，matlab编写的元胞自动机，模式识别中的bayes判别分析算法，部分实现了追踪测速迭代松弛算法，车牌识别定位程序的部分功能，能量熵的计算，考虑雨衰 阴影 和多径影响，BP神经网络用于函数拟合与模式识别。- Based on piecewise nonlinear weight value Pso algorithm, matlab prepared cellular automata, Pattern Recognition bayes discriminan
xvvewpzx
- 基于kaiser窗的双谱线插值FFT谐波分析，有CDF三角函数曲线/三维曲线图，信号处理中的旋转不变子空间法，用于时频分析算法，基于负熵最大的独立分量分析，基于分段非线性权重值的Pso算法，matlab程序运行时导入数据文件作为输入参数。- Dual-line interpolation FFT harmonic analysis kaiser windows, There CDF trigonometric curve/3D graphs, Signal Processing ESPRIT m
rztahikh
- 车牌识别定位程序的部分功能，验证可用，多抽样率信号处理，直线阵采用切比学夫加权控制主旁瓣比，基于负熵最大的独立分量分析，信号维数的估计，对于初学matlab的同学会有帮助，基于分段非线性权重值的Pso算法。- Part of the license plate recognition locator feature, Verification is available, Multirate signal processing, Linear array using cut than learni
kawwvg
- 构成不同频率的调制信号，基于分段非线性权重值的Pso算法，关于神经网络控制，能量熵的计算。- Constituting the modulated signals of different frequencies, Based on piecewise nonlinear weight value Pso algorithm, On neural network control, Energy entropy calculation.
ga-pso
- initial population algorithm main loop algorithm results algorithm PSOpop=PSOfunc
pso-vmd
- 提供 基于粒子群算法优化的变分模态分解算法，适应度函数选择的是模糊熵(This paper presents a variational mode decomposition algorithm based on particle swarm optimization, and the selection of fitness function is fuzzy entropy)