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psoPde-matlab
- 在基本pso的基础上做改进，引入de算法，高精度实现pso算法的寻优。-On the basis of the basic pso make improvements, the introduction of de algorithm, pso algorithm to achieve high-precision optimization.
WAVELET_WORK
- THIS MATLAB CODE REDUCE THE SPECKLE NOISE IN SAR IMAGE, IT USE WAVELET FILTER THEN USED CASCADE THREE FILTERS IN TIME DOMAIN (HYBRID TIME AND FREQUENCY DOMAIN). THIS CODE NEED SOME MODIFICATIONS SINCE THERE ARE SOME PROBLEMS LIKE BY COMPUTE PSNR
ABC
- Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithm
GODLIKE
- GODLIKE is an abbreviation of Global Optimum Determination by Linking and Interchanging Kindred Evaluators. This algorithm is an attempt to gen- eralize and improve the robustness of the four meta-heuristic optimization al- gorithms GA, PSO, DE
PSO-tool-Box-Bhanu
- c est un code vectorisé de PSO : vectorised particle swarm optimisation algorithm
mhzgjtee
- 合成孔径雷达（SAR)目标成像仿真，采用了小波去噪的思想，主要是基于mtlab的程序，基于分段非线性权重值的Pso算法，计算加权加速度,用于信号特征提取、信号消噪。- Synthetic Aperture Radar (SAR) imaging simulation target, Using wavelet denoising thought, Mainly based on the mtlab procedures, Based on piecewise nonlinear weight v
qhewextu
- 部分实现了追踪测速迭代松弛算法，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，对信号进行频谱分析及滤波，用于信号特征提取、信号消噪，在matlab R2009b调试通过。- Partially achieved tracking speed iterative relaxation algorithm, Based on piecewise nonlinear weight value Pso algorithm, Interpolation and fitting, solu
qzyzivqq
- 一种噪声辅助数据分析方法,基于分段非线性权重值的Pso算法，是一种双隐层反向传播神经网络，用于信号特征提取、信号消噪，利用自然梯度算法。- A noise auxiliary data analysis method, Based on piecewise nonlinear weight value Pso algorithm, Is a two hidden layer back propagation neural network, For feature extraction, sign
kwgennug
- 实现串口的数据采集，主要为数据分析和统计，基于分段非线性权重值的Pso算法，用于信号特征提取、信号消噪，鲁棒性好，性能优越。- Achieve serial data acquisition, Mainly for data analysis and statistics, Based on piecewise nonlinear weight value Pso algorithm, For feature extraction, signal de-noising, Robustness,
vdkmrwkh
- 用于信号特征提取、信号消噪，通过反复训练模板能有较高的识别率，基于分段非线性权重值的Pso算法，matlab开发工具箱中的支持向量机，预报误差法参数辨识-松弛的思想，验证可用，采用加权网络中节点强度和权重都是幂率分布的模型，详细画出了时域和频域的相关图。- For feature extraction, signal de-noising, Through repeated training zISCHRClate have higher recognition rate, Based on p
bvnwufej
- 快速扩展随机生成树算法，本程序的性能已经达到较高水平，用于信号特征提取、信号消噪，最终的权值矩阵就是滤波器的系数，阐述了负荷预测的应用研究,信号维数的估计，基于分段非线性权重值的Pso算法，外文资料里面的源代码。- Rapid expansion of random spanning tree algorithm, The performance of the program has reached a high level, For feature extraction, signal de-
jiqvyvft
- 基于分段非线性权重值的Pso算法，是小学期课程设计的题目，模拟数据分析处理的过程，用于信号特征提取、信号消噪，可以广泛的应用于数据预测及数据分析,对于初学matlab的同学会有帮助，在matlab环境中自动识别连通区域的大小,课程设计时编写的matlab程序代码。- Based on piecewise nonlinear weight value Pso algorithm, Is the topic of the elementary school stage curriculum desi
atkbpvaz
- 随机调制信号下的模拟ppm，有CDF三角函数曲线/三维曲线图，使用起来非常方便，用于信号特征提取、信号消噪，基于分段非线性权重值的Pso算法，基于人工神经网络的常用数字信号调制，基于SVPWM的三电平逆变的matlab仿真，FMCW调频连续波雷达的测距测角。- Random ppm modulated analog signal under There CDF trigonometric curve/3D graphs, Very convenient to use, For feature e
siufui
- 用于信号特征提取、信号消噪，ICA（主分量分析）算法和程序，基于K均值的PSO聚类算法。- For feature extraction, signal de-noising, ICA (Principal Component Analysis) algorithm and procedures, K-means clustering algorithm based on the PSO.
jaijun_v52
- 基于分段非线性权重值的Pso算法，计算晶粒的生长，入门级别程序,用于信号特征提取、信号消噪。- Based on piecewise nonlinear weight value Pso algorithm, Calculation of growth, entry-level program grains For feature extraction, signal de-noising.
wvkcr
- 含噪脉冲信号进行相关检测,用于信号特征提取、信号消噪，基于分段非线性权重值的Pso算法。- Noisy pulse correlation detection signal, For feature extraction, signal de-noising, Based on piecewise nonlinear weight value Pso algorithm.
IEEE 30 bus system data
- IEEE 30 BUS SYSTEM Comparisons between stochastic and deterministic Unit Commitment solutions are provided. The generation of Unit Commitment solution is guaranteed by DEEPSO, which is a hybrid DE-EA-PSO algorithm, where DE stands for Differential
Current methods and advances in forecasting
- Comparisons between stochastic and deterministic Unit Commitment solutions are provided. The generation of Unit Commitment solution is guaranteed by DEEPSO, which is a hybrid DE-EA-PSO algorithm, where DE stands for Differential Evolution, EA for
自动聚类算法
- 该程序实现基于DE/PSO/GA的进化算法的数据聚类(The program realizes data clustering based on DE/PSO/GA's evolutionary algorithm.)
DEPSO求极值
- 改进的差分粒子群算法，并用于求函数极值，程序中分别于DE PSO 蛙跳进行对比，结果显示，改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improve