智能投顾

使用Python编写的基于pyqt的串口调试助手(Written in Python pyqt based serial debugging assistant)

说明：  聚焦爬虫的工作流程较为复杂，需要根据一定的网页分析算法过滤与主题无关的链接，保留有用的链接并将其放入等待抓取的URL队列。(The workflow of focusing on crawlers is more complicated, and it is necessary to filter the links irrelevant to the topic according to certain webpage analysis algorithms, retain useful links and put them into the queue of URLs waiting to be crawled.)

说明：  建立一个小型的数据库 成绩管理系统，用python和mysql语言实现(Build a small database score management system, and implement it with Python and MySQL)

说明：  图书管理系统 程序开发软件：Pycharm 数据库：mysql 采用技术： Django 系统实体对象： 图书类型：图书类别，类别名称，可借阅天数 图书：图书条形码，图书名称，图书所在类别，图书价格，库存，出版日期，出版社，图书图片，图书简介，图书文件(Book management system Program development software: pycham Database: MySQL Adopted technology: Django System entity object: Book type: Book type, category name, number of days to borrow Books: Book barcode, book name, book category, book price, stock, publication date, publishing house, book picture, book introduction, book document)

dgango框架搭建的配置文件参考，源于edX开源项目代码(dgango profile reference frame structures, from edX open source project code)

说明：  python语言实现最大值法合成月EVI数据(Python Language Realizes the Maximum Method to Synthesize Monthly EVI Data)

说明：  abaqus python实现建立批量螺钉连接，并自动建立MPC(ABAQUS Python realizes the establishment of batch screw connection and the automatic establishment of MPC)

abaqus-各个单元分开附材料属性,用于处理材料各个网格单元不同时的情况！(Each element is attached to material properties separately)

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：  多标签学习算法的相关资料学习，包含数据集和代码(the multi-label knn algorithm ,can use the code in python)