证据融合

本程序实现深度学习的卷积神经网络（CNN）算法，含有训练程序和测试程序(This program implements convolution depth learning neural network (CNN) algorithm contains training programs and test procedures)

matlab程序 打开摄像头的程序 yuv格式 程序很简单 (matlab program to open the camera program yuv format procedure is very simple)

基于压缩感知的差分关联成像.能够以较少的采样次数高质量地恢复出物体的信息.(Compressive sensing based differential correlated imaging.)

基于QUARC系统，对轮式机器人QBot2进行轨迹跟踪控制(Trajectory tracking control of wheeled robot QBot2 based on QUARC system)

说明：  voiceprint声纹识别算法的实现MSR(speaker varification by I-Vector,)

计算流体力学里常用的simple算法实现，尤其对不可压缩流体数值模拟。以库埃特流为例(Computational fluid dynamics in the simple algorithm used to achieve, especially for numerical simulation of incompressible fluid. Couette flow as an example to)

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

图像去雾技术(Haze Removal using dark channel)(Haze Removal)

Use of Arma in filter kalman for estimating a curve prosess

本例程是运用人工神经网络在电网经济调度中的智能算法(This routine is the use of artificial neural networks in the economic dispatch of intelligent algorithms)