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matlab环境下采用otsu与遗传算法相结合确定分割最优阈值-split adopt the otsu and genetic algorithm combined to determine the optimal threshold matlab environment
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利用标准遗传算法对lena图像进行阈值分割的源代码-Lena image threshold segmentation source code using standard genetic 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-BP neural network using genetic algorithm to optimize weights threshold value, and then BP algorithm to train the network
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我自己编写的基于遗传算法的一维最大熵KSW阈值分割代码。-I have written the one-dimensional maximum entropy threshold segmentation based on genetic algorithm KSW code.
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我自己编写的用遗传算法寻找KSW最佳二维阈值，搞噪效果很好。-I prepared using genetic algorithm to find the best 2D Threshold KSW, engage in noise with good results.
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清空环境变量
网络结构建立
遗传算法参数初始化
迭代求解最佳初始阀值和权值
遗传算法结果分析
把最优初始阀值权值赋予网络预测
BP网络训练
BP网络预测
清空环境变量-Empty the environment variable
Established network structure
Genetic algorithm parameter initialization
Iterative Solution optimum initial thres
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基于最大类间方法阈值与遗传算法的道路分割-Maximum class method based on the road between the threshold segmentation and genetic algorithm
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matlab智能算法遗传算法优化人工神经网络权值和阈值-Matlab intelligent algorithm of genetic algorithm to optimize neural network weights and threshold
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关于用遗传算法改进BP神经网络的matlab实现(转引)
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(为看的方便，比较繁杂的也有) -About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & T
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基于最大类间方差阈值与遗传算法的道路分割，是基于最小二乘法的改进-Based on road Otsu threshold segmentation and genetic algorithm is based on the least square method to improve
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基于最大类间方差阈值与遗传算法的道路分割的图片及源码程序，附带程序说明-Based on the maximum between class variance threshold and genetic algorithm of the road segmentation of the image and the source code, with procedures
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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
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遗传算法无功优化，毕业设计有用，比较了软阈值，硬阈值及当今各种阈值计算方法。- Genetic algorithm based reactive power optimization, Graduation useful Comparison of soft threshold and hard threshold and today various threshold calculation method.
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基于遗传算法最大熵法图像多阈值分割，可以分割大部分具有较大差别的物体效果非常好-Based on genetic algorithm and the maximum entropy method of image threshold segmentation, most can be partitioned object has a bigger difference effect is very good
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本算法使用遗传算法对BP网络权值阈值进行优化，再用BP算法训练网络，使用遗传算法对网络进行优化，将初步得到的权值矩阵赋给尚未开始训练的BP网络。-This algorithm uses genetic algorithm BP network weights optimization threshold, then BP algorithm to train network, the use of genetic algorithms to optimize the network, the w
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主要是基于mtlab的程序，遗传算法无功优化，比较了软阈值，硬阈值及当今各种阈值计算方法。- Mainly based on the mtlab procedures, Genetic algorithm based reactive power optimization, Comparison of soft threshold and hard threshold and today various threshold calculation method.
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基于遗传算法优化的bp神经网络训练main函数，包括数据的导入，归一化，训练，权阈值的保存等-Based on genetic algorithm optimization of bp neural network training main function, including data import, normalization, training, the preservation of the threshold, etc.
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基于遗传算法的最大熵值法的双阈值图像分割(Double threshold image segmentation based on maximum entropy method based on genetic algorithm)
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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)
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基于遗传算法实现灰度图像二阈值分割，使图像分割的更合理(Two threshold segmentation of gray image based on genetic algorithm, which makes the image segmentation more reasonable)
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