搜索资源列表
GA(matlab)
- 遗传算法(GA)训练BP网络权值、阈值的matlab源码[matlab]-genetic algorithm (GA) BP training network value, the threshold value of the Matlab source [Matlab]
GA-Road
- 遗传算法在道路阈值分割中的应用，通过遗传算法确定阈值-Genetic algorithms in the road threshold segmentation by genetic algorithm to determine the threshold
ga_bp
- ga优化神经网权值&阈值程序。为了方便，我把几个matlab的程序都放在txt文件里，使用时，对照把txt内容复制进matlab即可-ga optimization neural network weights & threshold procedures. For convenience, I have several matlab programs on the txt file, use, control the content of the txt you copied into
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
GA
- 使用遗传算法和迭代阈值的方法实现图像分割。-The use of genetic algorithms and iterative threshold method of image segmentation.
gabp
- 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，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x-ga optimization neural network weights & threshold procedures. Optimization of the basic principles and processes can be found in many papers, do not have to go into details he
GA-BP
- 这是一个采用遗传算法优化bp神经网络权值阈值的MATLAB程序-This is a genetic algorithm to optimize neural network weights bp threshold MATLAB program
GA_for_clustering
- Genetic algorithms (GAs) have recently been accepted as powerful approaches to solving optimization problems. It is also well-accepted that building block construction (schemata formation and conservation) has a positive influence on GA behavior.
ga
- VS 2005下编写的遗传算法，采用面向对象的方式实现的遗传算法的思想，可用于神经网络的初始权值和阈值的优化。-VS 2005, prepared under the genetic algorithm, object-oriented approach to achieve the idea of genetic algorithms, neural networks can be used for the initial weights and threshold optimization.
cbir-GA-code
- its the matlab coding for pattern recoganization in image processing using genetic algorithm-its the matlab coding for pattern recoganization in image processing using genetic algorithm
GA-BP
- 基于遗传算法的BP网络优化程序，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-BP network based on genetic algorithm optimization program, BP network using genetic algorithm to optimize the weight threshold, and then BP algorithm for training the network
Otsu(GA)
- 应用遗传算法对传统Otsu算法进行优化实现灰度图像的阈值分割。给出了c++的源程序。-Using genetic algorithm Otsu traditional algorithm was used to optimize the realization of gray image threshold segmentation. Given the c++ the source program.
GA-elman
- Elman神经网络回归模型，GA优化权值阈值-Established a regression model by Elman, GA was used to optimizied weigth and threshold
GA-BP-matlab-socure-code
- matlab写的神经网络代码，其中含有遗传算法对神经网络的权值和阈值优化模块，解释比较详细，师兄的毕业设计部分代码-Written in Matlab neural network code, which contains the genetic algorithm of neural network weights and threshold optimization module, a more detailed explanation, senior graduation design p
Genetic
- 遗传算法优化BP神经网络初始权值阈值，主程序(GA optimizes the initial weight threshold of BP neural network)
ga_bp
- 基于遗传算法改进阈值的神经网络 能够有效避免神经网络的阈值陷入局部极小值这一问题(The neural network based on genetic algorithm to improve the threshold can effectively avoid the problem that the threshold of the neural network is trapped into the local minimum)
ga-bp
- 通过GA算法对bp神经网络的阈值阀值进行优化(The threshold value of BP neural network is optimized by GA algorithm)
New_GA-BP
- 第一步：运行BP_CCPP.m 得到并保存传统BP预测，初始权值和阈值w1_BP(w1 B1 w2 B2)，BP网络(BP_net)，和结果。 第二部：运行GABP_CCPP.m 得到并保存GABP预测，初始权值和阈值(x)，优化后的权值和阈值w1_GABP(w1 B1 w2 B2)，BP网络(GA_BP_net)，和结果。 第三部：运行sum_BP.m 用第一步和第二部得到的网络分别预测，得到结果对比和图形。 第四部：运行WB.m
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 ga_bp and GAOT toolbox. First,
Gotsu
- 用遗传算法和otsu实现多彩色图像的多阈值分割 。。。。。。。。。。。。(Multi threshold segmentation based on genetic algorithm)