2018年中国研究生数学建模大赛D题优秀论文，若干篇，希望可以帮助到你

2013年国赛D题优秀论文-1384305785617.rar 本文针对温州市鹿城区公共自行车管理中心提供的数据，首先对所给数据进行预处理，建立了相关统计模型，运用SPSS20.0、matlab等软件进行统计分析，最后应用关联度分析法对系统进行评价，并提出改进建议。

2013年国赛D题优秀论文-1384309913264.zip 本文针对温州市鹿城区公共自行车管理中心提供的数据，首先对所给数据进行预处理，建立了相关统计模型，运用SPSS20.0、matlab等软件进行统计分析，最后应用关联度分析法对系统进行评价，并提出改进建议。

2021年电子设计竞赛D题——基于互联网的摄像测量系统

2022美国大学生数学建模竞赛思路

2022美赛D题思路，去年得奖的技术组合，但是今年写论文的同学跑路了，自己把我们的想法凝练了一下，你们实现肯定能得奖，需要的自取~里面有论文思路代码

2022年数学建模美赛D题翻译

summary: In this paper, we establish a regression model based on the passing network to evaluate the influence of team structure strategy and opponents’ counter-strategy on the match results. Fortask1,wefirstlistsomeHuskiesmatchstatisticsforthisseasonandanalyzetheteamin brief. Secondly, we construct a passingnetwork based on the number of passes and visualizes the passing network diagram of three games under three different coaches. We use these three diagrams to describe and compare the changes in Huskies’ strategies. After that, we identify network patterns of dyadic and triadic configurations and count 15 kinds of these two configurations in the above three matches, reflecting the structural indicators of the passing network. We also explore time scale and micro scale by giving the change of the team’s centroid over time in the first match and the Huskies’ 4 positions heat map over the season. For task 2, we construct the regression model not only introducing the basic data representing Huskies’ and opponents’ ability, but also extracting six independent variables from the indicators of the passing network into the model. Considering opponents’ counter-strategies, we also introduce the product interaction term between opponents’ data and network structure indicators. Through the training of regression model, we can judge whether the independent variables introduced have influence, what kind of influence and how much influence the independent variables introduced have on the result of the match. For task 3, by bringing in data for training, the model leaves 10 variables including interactionterms. Inordertoverifytheaccuracyofthemodel,weuseLeaveOneOutcrossvalidation, andthepredictedaccuracyoftheraceresultreached71.05%. Then,basedonthetrainedmodel, we point out the effective structural strategies Huskies currently have, such as the strong connection between the core players. Meanwhile, we also give specific advice for Huskies team to improve team success, such as the emphasis on triadic configurations among players. Fortask4,weextendthemodelappliedtohuskiestoallteamworkscenariosandintroduce the IPOI model. The IPOI model conducts multi-level induction of influencing factors and selection of assessment indicators from the four aspects of team input, process, output and reinput, taking into account team construction, operation, management, feedback and other aspects. WeconsiderthattheexistingHuskiemodelisprogresspartofIPOImodel,andweadd the evaluation system of input, output and reinput part, taking the university scientific research team modeling as an example. Insummary,ourmodelispracticalandreliableforhandlingnetwork-basedteamworkproblems in society. Keywords: football strategy, network science, regression analysis, IPOI model.

自己写的代码实现研赛华为杯建模竞赛题，Python代码 有运行结果 原创

2020美赛特等奖D题7篇论文，题目：Improving Team Performance During a Football Match