python分类器实现

遗传算法解决处理路径问题 挺好的一个算法(vrp problem solved by GA)

说明：  基于unet的网络的语义分割希望大家喜欢(I hope you enjoy the semantic segmentation based on unet)

说明：  用python写的实测fama模型学习思路以及开发案例源代码(Python-based learning idea of measured Fama model and source code of development case)

采用了scrapy框架爬取链家网二手房的数据，可以导入到数据库中保存数据(Using the scrapy frame to climb the data of the second-hand house of the chain home network, it can be imported into the database to save the data)

自己写的盲注sqlserver的python脚本。里面部分参数需要自己修改，多线程，带登陆功能，可自定义判别函数。里面部分函数的功能可以自己摸索研究。

【实例简介】多word文档拼接

说明：  使用tensorflow框架进行回归分析，包括线性回归、多元线性回归和逻辑回归(Regression analysis using tensorflow framework, including linear regression, multiple linear regression and logical regression)

说明：  本文针对滑坡预测预报这一复杂性问题提出一种基于前向反馈传播（BP）神经网络的预测模型，描述了滑坡系统输入输出之间的非线性关系。为克服 BP 网络后期收敛速度慢、易陷入局部极小点等缺点，以遗传算法（GA）和模拟退火算法（SA）相结合的方式即遗传-模拟退火（GSA）算法对网络权值进行优化。用该方法预测滑坡位移获得了较好的效果(In this paper, a prediction model based on forward feedback propagation (BP) neural network is proposed for the complex problem of landslide prediction. The nonlinear relationship between input and output of landslide system is described. In order to overcome the shortcomings of BP network, such as slow convergence speed and easy to fall into local minima, genetic algorithm (GA) and simulated annealing algorithm (SA) are combined to optimize the network weight. The method can be used to predict the displacement of landslides)

说明：  神经网络与深度学习课后习题代码，编程案列(Neural Network and Deep Learning Exercise Code, Programming List)

说明：  本书介绍了如何通过Python自动化地完成物理领域方面的研究。全书共分为4个部分，以Python代码为示例向读者介绍了如何用Python解决物理项目中出现的各种问题。(This book describes how to automate research in the field of physics through Python. The book is divided into four parts, with Python code as an example to show readers how to use Python to solve various problems in physical projects.)