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改进遗传算法－郭涛算法做最优化问题很管用
- 改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algo
EEMD总体经验模式分解
- EEMD总体经验模式分解，EMD 的一种改进算法，可用于信号的去噪。-EEMD overall empirical mode decomposition, EMD of an improved algorithm can be used for signal de-noising.
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.
Optimization
- 《小波消噪阈值算法优化》详细阐述了一种自适应小波阈值消噪法。经matlab验证，改进后的算法消噪性能大大提高。-《Optimization threshold algorithm of wavelet de-noising》discribes an adaptive threshold de-noising based on wavelet. It’s proved by matlab program that the performance of adaptive algorithm is m
DE
- DE算法的改进及其在系统辨识中的应用，de算法 也是蜂群算法-DE algorithm and its application in system identification, de bees algorithm algorithm is also
DE
- 编写改进的差分进化算法，并对神经网络进行优化-improved differential evolution algorithm to optimization the neural network
gjxiaobo
- 改进提升小波，通过改变阈值，来达到消噪，比以前的小波消噪效果更好-Improved lifting wavelet by changing the threshold to achieve de-noising, than the previous wavelet denoising better
numerical-methods-for-DE
- 微分方程的几种数值解法的对比,隐式梯形积分法、欧拉法、改进欧拉法与解析解对比-numerical methods for solution of differential equations
DErand1either-or
- DE的一种改进算法，程序通过改变变异规则来大概改进算法的目的，同JDE一样是改进DE的一种-DE, an improved algorithm of application about the purpose of the improved algorithm by changing the variation rules, as well as JDE is a kind of improved DE
(muPlambda)-co-evolutionary-DE
- 将协同进化思想与微分进化算法结合，为一种改进的多种群共同进化微分进化算法-The idea of co-evolution differential evolution algorithm combined for an improved multi-population co-evolution differential evolution algorithm
FA2
- 一种改进的萤火虫算法解决动态0-1背包问题。经过测试，算法就有良好的性能。-Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential Evolution (DE) have been widely used for static optimization problems, but the applications of those algorithms in dynamic environments are rela
Collision-avoidance-path-planning
- 针对舰载机牵引系统的甲板调运过程，提出了一种适用于复杂障碍物环境中不规则形状目标的路径规划方法。针对舰载机外轮廓特点，建立了目标的凸构型描述形式，并推导了多目标间碰撞检测及距离计算方法，在此基础上提出了舰载机牵连运动的轨迹跟踪控制算法，同时引入行为动力学方法实现牵引系统的避碰路径规划。为提高复杂环境下的避碰能力，基于广义符号阈值函数，提出了避障行为策略改进方法。仿真结果表明，本文提出的算法能够有效地解决舰载机牵引系统的避碰路径规划问题。-For dealing with dispatching
vad
- 关于端点检测的几种方法，语音样本是自己录制的，对传统算法做了一些改进，加入了去噪，去噪之后再进行端点检测，均调通 vad0303：自己设置调整门限为一定值 vad0310：根据能量值和过零率设置门限，自适应门限值 vad0310_2：基于比例因子的门限自调整 vad0310.m加入了噪声，端点检测前都噪声进行了处理 entropy.m：基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测 dbdoor.m：双门限算法，用于语音端点检测。可以通过调整门限值，并
qaoqei_v23
- 模式识别中的bayes判别分析算法，用于信号特征提取、信号消噪，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度。- Pattern Recognition bayes discriminant analysis algorithm, For feature extraction, signal de-noising, Including Deng s correlation, absolute correlation, correlation of slope, improved abs
ju356
- 包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,关于超声波倒车雷达测距的，实现了图像的加水印，去噪，加噪声等功能。- Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, About ultrasonic parking radar ranging, Realize image watermarking, de-noising, pl
ts606
- esprit算法对有干扰的信号频率进行估计,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,用于信号特征提取、信号消噪。- esprit algorithm signal frequency interference can be assessed Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, For feature extr
SHADE
- 该文件是一种改进的自适应差分算法的研究，包括算法程序和参考文献，并用CEC2013 单目标真实参数优化问题测试了算法的性能。(This file is a kind of improved adaptive DE, including the algorithm program and references, and the performance of Success History based Adaptive DE (SHADE) is evaluated on the benchma
PVADE
- 该文件是一种改进的差分算法研究（PVADE）,包含一个算法程序和CEC2013 程序，并且算法通过CEC 2013 单目标真实参数优化问题的仿真测试。(This file is a kind of improved DE (Population's Variance-Based Adaptive Differential Evolution, PVADE), including the algorithm program and CEC 2013 programs, and the perfo
soft
- 针对提出的故障信号，利用awgn加噪，对其进行小波软硬阈值降噪，提出一种改进阈值，利用五种自适应阈值函数sqtwolog、rigrsure、heursure、minimaxi和ddencmp中阈值选取原则，对软阈值、硬阈值和改进阈值进行降噪效果对比。(In view of the proposed fault signal, the wavelet soft and hard threshold de-noising is carried out by AWGN adding noise, an
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