yuan

反应扩散问题长期在研究领域中c++去实现, 现在我们用MATLAB也可以(Reaction-diffusion problem in the area of research in long-term c++ to achieve, and now we can use MATLAB)

广义神经网络在预测中有广泛的应用，参数设置简单，值得学习。(Generalized neural network is widely used in the forecast, the parameter setting is simple, it is worth learning.)

莱斯因子及莱斯分布概率密度，分析不同多径能量方差和主信号幅度条件下的莱斯概率分布(Rice and Rice distribution probability density factor analysis of variance and different multipath energy under the conditions of the main signal amplitude probability distribution of Rice)

说明：  扩展卡尔曼滤波，simulink详细搭建模型(Extended Kalman filter and Simulink are used to build the model in detail)

说明：  用LBG算法对图像进行矢量量化，并实现了图像解码，图像解码视觉效果良好。(realized image vector quantization employed the LGB algorithm, and achieved the image decoding, image decoding visual effect is good.)

带有gui(图形界面）的钢筋混凝土柱截面配筋及绘图程序。(With a gui (graphical interface) of the reinforcement and reinforced concrete column cross-section drawing program.)

MATLAB CODE FOR PYTHON

此函数为在matlab软件编写的图像合并函数。(this is a m function for two image merging.)

BP神经网络的应用案例，从其它地方找的，描述数据箱客运量(Applications BP neural network, from elsewhere)

In most of the approaches of computer-aided detection of breast cancer, one of the preprocessing steps applied to the mammogram is the removal/suppression of pectoral muscle, as its presence within the mammogram may adversely affect the outcome of cancer detection processes. Through this study, we propose an efficient automatic method using the watershed transformation for identifying the pectoral muscle in mediolateral oblique view mammograms. The watershed transformation of the mammogram shows interesting properties that include the appearance of a unique watershed line corresponding to the pectoral muscle edge. In addition to this, it is observed that the pectoral muscle region is oversegmented due to the existence of several catchment basins within the pectoral muscle