python 爬取环境大数据源代码

通过Selenium爬取知乎上面的妹子图(Spider For Girls On ZhiHu)

说明：  rc6 algorithm implimtiton

说明：  用CNN对电能质量扰动进行分类，可以直接使用，数据都在里面，仅供参考(Use CNN to classify power quality disturbances, which can be used directly, and the data are in it for reference only)

说明：  测井曲线的傅立叶变换，import pandas as pd import matplotlib.pyplot as plt import myfuntion as mf import pylab as py from matplotlib.font_manager import FontProperties(import pandas as pd import matplotlib.pyplot as plt import myfuntion as mf import pylab as py from matplotlib.font_manager import FontProperties)

说明：  采用gabor算法，灰度共生矩阵、灰度梯度共生矩阵提取图像纹理信息(Using Gabor algorithm, gray level co-occurrence matrix and gray level gradient co-occurrence matrix to extract image texture information)

朴素贝叶斯是经典的机器学习算法之一，也是为数不多的基于概率论的分类算法。朴素贝叶斯原理简单，也很容易实现，多用于文本分类，比如垃圾邮件过滤。(Naive Bayes is one of the classical machine learning algorithms, and is also one of the few classification algorithms based on probability theory. Naive Bayesian principle is simple and easy to implement. It is mostly used for text categorization, such as spam filtering.)

说明：  基于python的bp神经网络人脸性别识别(Python-based BP neural network face gender recognition)

3GPP 36.873信道建模，用Python编写(3GPP 36.873 channel modeling, written in Python)

使用协同过滤的推荐系统测试代码Predicting movie ratings using collaborative filtering and latent concept extractors based on matrix decomposition methods like SVD and CUR on the movielens-100k dataset The project explores techniques for predicting unknown user ratings based on a large dataset of users and movie ratings.(Recommender-SystemsWe used 6 different recommender methods to predict user ratings across the data sets. Namely we set up Collaborative Filtering along with its baseline variant and Matrix decomposition techniques like Singular Value Decomposition and CUR. Moreover, we also implemented dimensionality reduction in these matrix decomposition techniques which preserved 90% of the energy so as to increase the computational efficiency while keeping the accuracy similar for these methods.)

随机短纤在树脂中分布是随机的，具体体现为随机位置、随机取向、随机尺寸。随机纤维复合材料SG的数值生成方法有三类，即随机顺序吸附(RSA)方法、蒙特卡罗(MC)方法和图像重建技术。随机序列吸附方法是通过随机生成其位置和取向角来逐一地将短纤添加到区域中。新加入纤维不允许与先前接受的纤维相交。