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详细描述了对模糊控制工具箱的介绍以及如何用matlab的模糊控制工具箱(A detailed description of the introduction of fuzzy control toolbox and how to use fuzzy control toolbox matlab)

图切优化算法，通过它可以使得C++程序脱离vc环境在matlab中运行。(Figure cut optimization algorithm, it can makes C++ program from the vc environment in matlab run.)

matlab数字图像处理，包含m文件，产生高斯噪声或椒盐噪声然后降噪(matlab digital image processing, including m file, Gaussian noise or impulse noise and noise reduction)

运用matlab进行平差，简化数据处理，方便快捷(Adjustment using matlab to simplify data processing, convenient)

Adaptive Equalization for Digital Communications

说明：  使用Matlab编写的逆谐波程序。该程序对于不同的参数进行了实验。当图像噪声不同时，选用不同的参数。参数的正确选择很重要。本程序给出了不同噪声比较适合的参数选择(The use of Matlab procedures for the preparation of the inverse harmonic. The program parameters for different experiments. When the image noise is not at the same time, choosing different parameters. Correct choice of parameters is very important. This procedure gives more suitable for different noise parameters)

说明：  非期望产出的SBM模型，计算带有非期望产出的效率模型(undesirable-sbm model)

The Burrows wheeler transform of matrix x, it will calculate the Burrows wheeler transform of the matrix a and will output the encoded signal with primary index value this program will calculate the burrows wheeler transform of input image and produce the bwt output with indices vector

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

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