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遗传算法无功优化，基于K均值的PSO聚类算法,完整的图像处理课设，包含所有源代码，汽车图像。- Genetic algorithm based reactive power optimization, K-means clustering algorithm based on the PSO, Complete class-based image processing, contains all of the source code, auto image.
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遗传算法无功优化，毕设内容，高光谱图像基本处理，采用偏最小二乘法。- Genetic algorithm based reactive power optimization, Complete set content, basic hyperspectral image processing, Partial least squares method.
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用于图像处理的独立分量分析，旋转机械二维全息谱计算的实用例程，遗传算法无功优化。- Independent component analysis for image processing, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Genetic algorithm based reactive power optimization.
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完整的图像处理课设，包含所有源代码，汽车图像，遗传算法无功优化，代码里有很完整的注释和解释。- Complete class-based image processing, contains all of the source code, auto image, Genetic algorithm based reactive power optimization, Code, there are very complete notes and explanation.
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Aforge 的一些例程,包括:图像处理,遗传算法,神经网络算法等.-Aforge some of the routines, including: image processing, genetic algorithms, neural network algorithm.
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一种基于多文档得图像合并技术，多抽样率信号处理，遗传算法无功优化。- Based on multi-document image obtained combining technique, Multirate signal processing, Genetic algorithm based reactive power optimization.
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遗传算法无功优化，一个师兄的毕设，用于图像处理的独立分量分析。- Genetic algorithm based reactive power optimization, A complete set of brothers, Independent component analysis for image processing.
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遗传算法无功优化，完整的图像处理课设，包含所有源代码，汽车图像，利用最小二乘法进行拟合多元非线性方程。- Genetic algorithm based reactive power optimization, Complete class-based image processing, contains all of the source code, auto image, Multivariate least squares fitting method of nonlinear equat
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ML法能够很好的估计信号的信噪比,遗传算法无功优化，毕设内容，高光谱图像基本处理。- ML estimation method can be a good signal to noise ratio, Genetic algorithm based reactive power optimization, Complete set content, basic hyperspectral image processing.
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毕设内容，高光谱图像基本处理，遗传算法无功优化，小波包分析提取振动信号中的特征频率。- Complete set content, basic hyperspectral image processing, Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency.
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AForge.NET是一个专门为开发者和研究者基于C#框架设计的，这个框架提供了不同的类库和关于类库的资源，还有很多应用程序例子，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习，机器人等领域。
这个框架由一系列的类库组成。主要包括有:
AForge.Imaging -- 一些日常的图像处理和过滤器
AForge.Vision -- 计算机视觉应用类库
AForge.Neuro -- 神经网络计算库AForge.Genetic -进化算法编程库
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C# 图像处理、神经网络、遗传算法，有需要的可以学习一下。(C# image processing, neural network, genetic algorithm)
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Use of natural gradient algorithm, Independent component analysis for image processing, Genetic algorithm based reactive power optimization.
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C#图像处理、神经网络、遗传算法集.对学习CSharp 图像处理的人很有帮助，希望可以帮到(C# image processing, neural network, genetic algorithm set)
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