2018年-研究生数学建模竞赛-E 这个仓库主要是前段时间参加2018研究生数学建模大赛的经验与心得，但是第二问，第三问做的太烂，所以只放我们团队第一问的方案和源码，在此抛砖引玉，欢迎大家批评指正。具体内容分析可以查看我的博客，我的博客地址： ://blog.csdn.net/hanjushi2/article/details/82862191 （2018.10）同时更新了历年数学建模论文模板（LaTex）以及优秀论文合计（2010年-2017年） 数学建模资源合集度云链接（链接： ://pan.baidu.com/s/1ciZisMg3s9Uv5F3mTeT8Yg提取码：rji4）

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

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.

driving-behavior-risk-prediction. 2018平安产险数据建模大赛 驾驶行为预测驾驶风险 Fork或借鉴请注明出处  . Thx 比赛链接 RANK 第五周 第六周 相关文章 License Copyright (c) . All rights reserved. Licensed under the License.

一种图像自动拼接的快速算法 图像拼接是一个日益流行的研究领域，它可以提供具有 真实感的全景图，是虚拟现实场景创建和虚拟漫游的基础。 本文的算法采用自主选择基准特征块的思想，实现了图像的 精确拼接，同时采用金字塔式分层匹配的思想，进而实现了 图像的快速拼接。因此，本文的算法既具有良好的鲁棒性又 具有较好的实用性。

用户兴趣建模大赛top10开源代码 下面分别列出了这三部分对应的代码文件，依次每个代码文件的功能，输入，输出进行了详细说明。 1.预处理 merge_smallfiles.py 功能：将视觉特征的小文件合并；输入：视觉特征，存放于单独的小文件中；输出：train0.pkl，train1.pkl，test.pkl说明：由于内存限制，将训练集的视觉特征存放在两个文件中； random_sample.py 功能：分别在训练集和测试集视觉特征中采样10％，用于视觉特征聚类；输入：train0.pkl，train1.pkl，test.pkl输出：train0_sample0.1.pkl，train1_sample0.1.pkl，test_sample0.1.pkl 2. feature_engineering kmeans.py 功能：在10％的视觉特征上训练kmeans聚类算法，变为所有视觉特征进

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