Python项目

LSTM入门学习，正弦波序列预测         for i, input_t in enumerate(input.chunk(input.size(1), dim=1)):             h_t, c_t = self.lstm1(input_t, (h_t, c_t))             h_t2, c_t2 = self.lstm2(h_t, (h_t2, c_t2))             output = self.linear(h_t2)  # output.shape:[batch,1]             outputs = [output]  # outputs.shape:[[batch,1],...[batch,1]], list composed of n [batch,1],         for i in range(future):  # if we should predict the future             h_t, c_t = self.lstm1(output, (h_t, c_t))             h_t2, c_t2 = self.lstm2(h_t, (h_t2, c_t2))             output = self.linear(h_t2)  # output.shape:[batch,1]             outputs = [output]  # outputs.shape:[[batch,1],...[batch,1]], list composed of n [batch,1],         outputs = torch.stack(outputs, 1).squeeze(2)  # shape after stack:[batch, n, 1], shape after squeeze: [batch,n]         return outputs

【实例简介】编写程序，输入两个分别包含若干整数的列表LA、LB.py 编写程序，输入两个分别包含若干整数的列表LA、LB，输出一个字典，要求用LA中的元素作为键，用LB中的元素作为值，并且最终字典中的元素数量取决于LA和LB中元素较少的列表的数量;

一个简单的爬虫程序。1、 打开百度网页 2、将网页HTML转化成utf-8格式存入文件 baidu.txt 3、获取网页中的所有a标签对象 ，将对象指向的链接地址抓取出来(A simple crawler program. 1. Open the Baidu web page 2, convert the web page HTML into UTF-8 format and store the file baidu.txt 3. Get all the a tag objects in the web page and grab the linked addresses of the objects.)

说明：  光流法实现图像追踪，可用于图像配准已经位姿估计(Optical flow method for image tracking)

python读取cloudsat卫星数据并画图(Python reads CloudSat satellite data and draws pictures.)

说明：  本rar文件是图像超分辨率重构的网络模型RCAN的代码，可以成功运行(This rar file is the code of the image super-resolution reconstruction network model RCAN, which can be run successfully)

数模中求解偏微分方程时，在已知数据的基础上进行线性插值拟合。利用差分法求解该模型，先用网格划分区域，对 区域内部节点做泰勒展开。对偏导数进行离散化处理。(tthe solution to the PDE problem in mathematical modeling)

说明：  用于基础创建建立GUI插件——三维钻孔板(Three-dimensional drilling plate)

说明：  基于遗传算法改进的BP神经网络，内含数据集，可直接使用(BP neural network based on improved genetic algorithm, including data set, can be used directly)

用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。(SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.)