Birdy0831

Birdy0831

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EPA_MOVES_Model

Estimating emissions for mobile sources

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PSO_routes

基于粒子群的VRP(车辆配送路径规划)问题建模求解

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VRPTW

Computational Logistics of the Vehicle Routing Problem with Time Windows. Comparative Review of application of the PSO and GA to the VRPTW.

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PSO-for-VRPTW

Using improved PSO(Particle Swarm Optimization) algorithm resolve VRPTW question.

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MOPSO-for-Distribution

一个疫情背景下应急物资配送算法:用改进后的多目标粒子群优化(MOPSO)算法解决带有风险矩阵的多辆车配送旅行商问题(TSP)

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PSO-VRPWT

离散粒子群优化问题

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PSO

Particle Swarm Optimization

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MOPSO-for-Distribution

一个疫情背景下应急物资配送算法:用改进后的多目标粒子群优化(MOPSO)算法解决带有风险矩阵的多辆车配送旅行商问题(TSP)

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stmprinter

Print multiple stm model dashboards to a pdf file for inspection

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stm_chinese_example

[自用] 中文文本处理及结构主题模型

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elam_stm_prep

An attempt at creating an interface between a dymamic python-based pre-processing and the R based stm (Structural Topic Modelling) library.

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learning-stm

Learning structural topic modeling using the stm R package.

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strutopy

A Python implementation for Structural Topic Modeling

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TextMining

某电商手机评论的文本挖掘初体验 功能板块:数据预处理、LDA模型获取特征词、情感极性判断与程度计算、回归模型预测销量排序

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2021-review-journalism-communication-lda

运用LDA模型对WOS文献数据进行主题聚类,用于2021年度国际新闻传播学文献综述

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Python-for-Data-Mining

该资源为作者在CSDN的撰写Python数据挖掘和数据分析文章的支撑,主要是Python实现数据挖掘、机器学习、文本挖掘等算法代码实现,希望该资源对您有所帮助,一起加油。

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Structural-Topic-Modeling-in-R

Structural Topic Modeling in R (published two articles on Medium). STM, LDA, metadata, NLP.

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Codes-for-Web-of-Science-data

Codes for 1)WoS author disambiguation and 2)crawler.

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wos_crawler

Web of Science Crawler

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Barrier-free-Traverse

设置不同的栅格地图,采用TSP问题的求解思路,应用多种算法实现单个机器人在有障碍和无障碍情况下的全覆盖路径规划: 动态规划、分支限界、蚁群算法、模拟退火以及简单的弓字型遍历。还实现了MTSP,即多旅行商问题。

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sheng-xin-xiao-bai-yu

历史文档备份(只包含2019年和2020年)

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Case-SalesForecasting

Sales forecasting with random forest, decision tree. Promotion effect calculation.

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Walmart-Sales

Forecasting Walmart sales w/ARIMA, Random Forest

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data-mining-R

利用R语言编写的数据挖掘大作业。着重分析朴素贝叶斯判别分析算法、 AdaBoost 算法以及随机森林算法在口红销量预测中的效果, 并在随机森林算法中进行模型优化。Using R language data mining big homework. The effects of Naive Bayesian Discriminant Analysis (Naive Bayesian Discriminant Analysis), AdaBoost and Random Forest Algorithms on lipstick sales forecasting were analyzed, and the model was optimized in Random Forest Algorithms.

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Gurobi-Python

Learning how to use gurobi with python (in chinese)

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MLofAndrew-Ng

吴恩达机器学习课程的讲义,欢迎大家一起学习

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MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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