搜索资源列表
最大类间方差阈值函数―基于组织的粒子群优化
- matlab编写的多阈值分割程序
matlab2
- ga优化神经网权值&阈值程序。 优化的基本原理和过程很多论文可以查到-ga optimizing neural network weights
leijianfangchafenge
- 基于组织的粒子群优化的最大类间方差图像多阈值分割-Based on Particle Swarm Optimization organization the largest variance between-class multi-threshold image segmentation
Pso
- 模拟一群鸟捕食的情景,从而达到优化目标函数的目的,这就是粒子群算法!起初在可行的空间中随机的产生一群粒子,然后让每个粒子开始在虚拟的空间中向四面八方飞翔,并且每个粒子都记下他们飞过的适应值(也就是目标优化函数)最高的点,而且整个粒子群有一个最高适应值个体,这样,粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 -Simulation of a group of birds preying
thecontrollingofpidinpsoo
- 基本粒子群优化算法Matlab源程序,其中的fitness函数可根据自己需要更改。-Elementary particle swarm optimization algorithm Matlab source code, in which the fitness function may need to change according to their own.
geneticalgrithmneuralnet
- 这段程序是用遗传算法优化神经网络权值和阈值的gaot工具箱-This procedure is to use genetic algorithms to optimize neural network weights and thresholds of gaot Toolbox
20085417110
- 使用遗传算法对BP网络权值阈值进行优化,再用BP算法训练网络。-The use of genetic algorithm to the right of BP network to optimize the threshold value, and then BP algorithm for training the network.
optimize-BP-with_GA
- 使用遗传算法对BP网络权值阈值进行优化的matlba源代码-matlab code for bpga
GaBp
- 用GA训练BP网络的权值、阈值从而优化神经网络-GA training BP network with the right value, the threshold in order to optimize the neural network
Genetic
- 遗传算法优化神经网络的权值和阈值 matlab程序代码-Genetic algorithm optimization neural network weights and thresholds
wden1
- 优化小波阈值,对硬阈值和软阈值的改进,通常用于语音信号增强,去噪-Optimization of wavelet threshold, the hard threshold and soft threshold improvement, commonly used in speech signal enhancement and denoise
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 performa
PSO_BP
- 基于粒子群和BP神经网络的混合优化策略算法。将改进PSO算法与BP神经网络结合,用PSO算法取代梯度下降法来优化神经网络的连接权值和阈值。程序简单易懂。-Based on Particle Swarm and the BP neural network algorithm for hybrid optimization strategy. Will improve the PSO algorithm and BP neural netw
利用遗传算法优化BP神经网络权值和阈值
- 利用遗传算法优化BP神经网络权值和阈值,内含程序和m文件(Using genetic algorithm to optimize BP neural network weights and thresholds, containing procedures and M files)
matlab
- ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理,极大缩短了搜索图像阈值计算时间,与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点(OSTU threshold image segmentation algorithm for image segmentation Ostu optimal threshold optimization process, greatly reduces the search im
GA_Bp
- 利用Maltab脚本M语言,使用GA遗传算法优化BP神经网络阈值,文件包括:ga_bp和gaot工具箱,首先在maltab中利用setpath设置加载gaot工具箱,然后在ga_bp文件夹下运行!(Using Maltab scr ipt M language, we use GA genetic algorithm to optimize BP neural network threshold. The files include g
遗传算法对BP网络权值阈值进行优化实例
- 遗传算法对BP神经网络权阈值进行优化,运行可用(Genetic algorithm is used to optimize the weight threshold of BP neural network.)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端,采用遗传算法寻优BP的初始权值和阈值,然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to op
matlab代码
- 针对小波包去噪对含强白噪声的信号处理效果不理想问题,提出了基于互相关分析优化的VMD-小波包阈值去噪方法。该方法融合了VMD和小波包去噪的优势,通过VMD把含噪信号分解成若干个模态分量,根据互相关分析提出的临界相关系数从所有模态分量中搜寻极优模态分量,之后利用小波包阈值去噪对极优模态分量进行处理。实验结果表明,该方法对含强白噪声的信号去噪效果具有优势,能够保全信号的有效分量,克服了传统VMD去噪的盲目性,保证了去噪后信号的真实性。(De
遗传算法优化BP神经网络
- GA算法优化BP神经网络的初始权值和阈值,提高神经网络的鲁棒性(GA algorithm optimizes the initial weights and thresholds of BP neural network to improve the robustness of neural network)