ACO-BP

利用Python技术搭建一个简易网页实例，附有整个项目的完整资料。(Use Python technology to build a simple web page example, with complete information of the whole project.)

线性回归模型代码演示

说明：  对有雨的单幅图像进行去雨操作，包括训练、测试、数据集处理(Remove the rain from the image with rain)

利用python+tensorflow实现的DQN算法demo(DQN algorithm demo implemented by Python + tensorflow)

说明：  这是使用Python实现的DBScan。像Numpy、熊猫这样的图书馆也被使用过。DBScan算法已经在两个变色龙数据集t4.8k和t5.8k上进行了测试。然后利用matplotlib将得到的结果可视化。为了便于比较，本文将所得到的输出结果与DBScan实现的skLearning库的结果进行了比较。计算每个数据集的同质性和分离度，以观察簇间的相似性和不同的度量。epsilon和min值分别为8.5和16.5。(This is a DBScan implemented using Python. Libraries like Numpy and Panda have also been used. DBScan algorithm has been tested on two chameleon datasets t4.8k and t5.8k. Then the results are visualized by matplotlib. In order to facilitate comparison, the output results are compared with those of skLearning library implemented by DBScan. The homogeneity and segregation of each data set are calculated to observe the similarity and different measures between clusters. Epsilon and min were 8.5 and 16.5 respectively.)

说明：  ABAQUS 脚本生成节点信息，计算J积分(J-Integral calculation using ABAQUS)

说明：  就是用sfm方法把用相机拍摄的图像进行重建三维模型(The SFM method is used to reconstruct the three-dimensional model of the image taken by the camera)

python中一种称为行人检测的图像处理算法。使用openCV，numpy，imutils等，对我们的项目很有帮助。

说明：  Speech and Language Processing.pdf

说明：  通过python和opencv的运用，对指针式仪表的刻度识别(Calibration Recognition of Pointer Instrument)