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基于两层的层叠自编码的深度学习模型，前两层用于特征提取，再加一个Softmax分类器用于分类(Two stacked the depth of learning coding model based on the first two levels for feature extraction, coupled with a classifier for classifying Softmax)

模拟生物种群鱼群的觅食行为，让人工鱼直接移动到较优位置。解决多维非线性多目标优化问题(Simulate the foraging behavior of biological populations of fish, let the fish move directly to artificial optimum position. Solve multidimensional nonlinear multi-objective optimization problem)

该代码演示了，如何利用QTcpSocket QTcpServer进行网络通信；如何从服务器端获取图像数据，在网间传输图像，最后在客户端接收，并显示。代码的重点在于，它演示了一个基本的流程，涉及到的也只是最粗浅的内容，如果有兴趣的朋友，可以更好完善它，包括界面和功能部分。对刚接触这一块的同学，这个代码可以上手很快，有了印象之后再深入就好办了。

一种全新的智能算法-萤火虫群算法。该算法主要用于求解多峰函数。包含2个文件。用matlab打开GSO.m可以直接运行。如果要修改测试函数，可以修改J1.m函数。(A new intelligent algorithms- fireflies swarm. The algorithm used to solve multimodal function. Contains two files. Open GSO.m can use matlab to run. If you want to modify the test function, you can modify J1.m function.)

BP神经网络用于函数拟合与模式识别，包括调制，解调，信噪比计算，意信号卷积的运算,并且绘制图象。( BP neural network function fitting and pattern recognition, Includes the modulation, demodulation, signal to noise ratio calculation, Convolution operation is intended to signal and image rendering.)

斯坦福深度学习教程中关于stacked autoencoder的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行(Stanford deep learning tutorial exercises on stacked autoencoder code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the path of a database, you can run directly)

提出了一种新的基于非下采样轮廓波ＮＳＣＴ和脉冲耦合神经网络ＰＣＮＮ相结合的自适应图像融合方法．对已经配准的源图像进行ＮＳＣＴ分解得到低频子带系数和不同方向的高频子带系数．对ＮＳＣＴ分解的低频部分采用简单的加权平均融合规则(Proposed a new profile based on non-downsampling wave NSCT and PCNN PCNN combining adaptive image fusion method. Which has been the source image registration NSCT decomposition subband coefficients and the high frequency sub-band in different directions coefficient. NSCT decomposition for the low frequency part using a simple weighted average fusion rules)

c++ 基于FINS协议与OMRON PLC进行tcp udp 通信(c++ base on fins protocol to communicate with omron plc by tcp udp)

说明：  matlab编写的[数据挖掘]分类算法Gibbs算法。(Matlab prepared by the [data mining] classification algorithm Gibbs algorithm.)

用C++调用CLIPS开发的小专家系统，起重机选型问题，有助于初学者学习(With the development of small C++ call CLIPS expert system to help beginners learn)