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自适应遗传算法matlab代码.自适应遗传算法的问题是很容易早熟,好处就是速度快 .不过我将在其中会引入一个早熟判定标志的，并设定一个阈值，如此以来，就可以防止早熟现象了
-Adaptive genetic algorithm Matlab code. Adaptive genetic algorithm is very easy precocious, advantage is faster. However, in which I will be introducing an early
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用遗传算法实现基于门限值控制的ABS系统参数进行优化-genetic algorithm based on the threshold of ABS control system parameters to optimize
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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]
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针对基于最小二乘法的ICP 曲面匹配算法难以处理待比较曲面的局部大变形问题, 提出一种改进算
法。即采用遗传算法确定曲面初始相对位置以保证匹配优化结果为全局最优值, 利用ICP 算法匹配结果构造
偏差阈值, 以此阈值过滤点群后再以最小二乘法进行匹配处理, 消除局部大变形影响, 获得合理的变换矩阵。以此变换矩阵变换初始点群再进行误差计算, 从而获得理想的匹配结果-Least square method based on the ICP surface matching algorithm
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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.
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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.
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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.
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基于遗传算法的图像去噪阈值分析研究的方法-Based on Genetic Algorithm for Image Denoising threshold method of analysis. . . .
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用遗传算法优化BP神经网络的权值及其阀值-Using genetic algorithm optimization BP neural network weights and threshold
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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
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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.
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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.
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网络结构、初始连接权值和阈值的选择对网络训练的影响很大，但是又无法准确获得，针对这些特点可以采用遗传算法对神经网络进行优化-Network structure, initial connection weights and threshold selection a great impact on the network training, but it is impossible to accurately obtain, these features can be used for the
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图像分割算法，改进的二维最大熵遗传算法研究-Image segmentation algorithm, the improved genetic algorithm for two-dimensional maximum entropy
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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
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遗传算法在道路图像阈值分割中的应用
包括：初始化种群，产生新一代个体，精英选择，交叉，变异-Genetic algorithm in the road image threshold segmentation include: initial population, a new generation of individual, elite selection, crossover and mutation
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基于遗传算法和BP神经网络控制倒立摆的程序，用遗传算法优化神经网络权值阈值以达到更好的控制效果-Based on genetic algorithm and BP neural network control procedures for the inverted pendulum, with a genetic algorithm neural network weight threshold in order to achieve better control performance
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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 using genetic algorithm to optimize the weight threshold, and then BP algorithm for training the network
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一种最新的基于遗传算法的阈值分割方法！在图像处理中可以参考，有价值！-One of the latest genetic algorithm-based threshold segmentation method. Can refer to the image processing and valuable!
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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.)
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