# Mathematical-Modeling
数学建模算法学习。
## 主要参考资料
- [MATLAB在数学建模中的应用(红皮书)](https://baike.baidu.com/item/MATLAB%E5%9C%A8%E6%95%B0%E5%AD%A6%E5%BB%BA%E6%A8%A1%E4%B8%AD%E7%9A%84%E5%BA%94%E7%94%A8/10469801?fr=aladdin)
- [大学生数学建模竞赛指南(蓝皮书)](https://baike.baidu.com/item/%E5%A4%A7%E5%AD%A6%E7%94%9F%E6%95%B0%E5%AD%A6%E5%BB%BA%E6%A8%A1%E7%AB%9E%E8%B5%9B%E6%8C%87%E5%8D%97/17660813)
## 主要包含算法
| 算法名 | 问题链接 |
| :--------------------------------------: | :--------------------------------------: |
| **蚁群算法** | **[TSP问题](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/ant_colony_algorithm/asa_tsp.m) \|[公交车路线问题](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/ant_colony_algorithm/asa_bus_problem.m)** |
| [**遗传算法**](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/genetic/readme.txt) | [**多元函数最小值(遗传算法理论)**](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/genetic/ga_algorithm_theory/GA501.m)**\|[beatxbx工具箱使用](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/genetic/beatxbx_tools/beatbx_use.m)\|[MATLAB自带工具箱使用](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/genetic/gatools/ga_use.m)** |
| [**模拟退火**](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/simulated_annealing/readme.txt) | **[TSP问题](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/simulated_annealing/sa_tsp.m)\|[0-1背包问题](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/simulated_annealing/sa_01knapsack.m)\|[公交车路线问题](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/simulated_annealing/sa_bus_problem.m)** |
| **人工神经网络** | **[BP人工神经网络理论](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/neural_network/bp_theroy.m)\|[BP工具箱使用](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/neural_network/neural_network_tools_use.m)\|[RBF人工神经网络理论](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/neural_network/rbf_theory.m)\|[RBF工具箱](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E7%BA%A2%E7%9A%AE%E4%B9%A6%E5%AD%A6%E4%B9%A0/neural_network/rbf_network_tools_use.m)** |
| **元胞自动机** | **[森林火灾3D](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/CA_forest_fire_3D/forest_fier_modle2.m)\|[NS交通规则](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/CA_NS/test.m)** |
| **聚类算法** | **[K-means](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/cluster/kmeans/keamn_use.m)\|[系统聚类](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/cluster/system_cluster/clusterdata_use_simple.m)** |
| **预测类算法** | **[SVM(线性,非线性,LIBSVM工具箱)](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/forecast/SVM/LIBSVM_USE.m)**\|**[灰色预测](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/forecast/gray_forecast/gm_corr.m)\|[ Logistic回归分析](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/forecast/Logistic/Logistic.m)** |
| **排队论** | **[M\|M\|1系统](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/queuing_theory/M_M_1.m)\|[M\|M\|m(N)](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/queuing_theory/MMSkteam.m)** |
| **确定权重** | **[AHP](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/weights/AHP.m)\|[PCA](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/%E6%A8%A1%E5%9E%8B%E4%B8%8E%E7%AE%97%E6%B3%95%E9%9B%86%E5%90%88/weights/PCA.m)\|[熵权法](https://github.com/zzbb1199/Mathematical-Modeling/blob/master/模型与算法集合/weights/shang.m)** |
## 工具箱推荐
- 遗传算法-beatxbx工具箱,求解速度很快,并行计算
- LIBSVM-比MATLAB自带工具箱好用得多
- yamlip,**特别推荐**,统一优化求解工具箱
Ok,that's all,hope you have a good day!
写了一份[建模心得](https://www.ravenxrz.ink/archives/a-experience-of-failure-in-mathematical-modeling.html),希望能够帮助到后来的建模学弟学妹吧。
没有合适的资源?快使用搜索试试~ 我知道了~
数学建模算法学习参考资料
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txt:14个
xlsx:3个
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2024-05-18
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数学建模算法学习参考资料 (120个子文件)
heart_scale 27KB
_desktop.ini 9B
_desktop.ini 9B
LICENSE 11KB
forest_fier_modle2.m 6KB
forest_fire_modle1.m 5KB
asa_tsp.m 5KB
asa_tsp.m 5KB
bp_theroy.m 5KB
bp_theroy.m 5KB
rbf_theory.m 4KB
rbf_theory.m 4KB
asa_bus_problem.m 4KB
asa_bus_problem.m 4KB
MMSkteam.m 3KB
sa_tsp.m 3KB
sa_tsp.m 3KB
test.m 3KB
neural_network_tools_use.m 3KB
neural_network_tools_use.m 3KB
LIBSVM_USE.m 3KB
GA501.m 2KB
GA501.m 2KB
neural_network_miv.m 2KB
greym_1_1.m 2KB
neural_network_miv.m 2KB
beatbx_use.m 2KB
beatbx_use.m 2KB
beatvx_use_self_condiftion.m 2KB
test.m 2KB
sa_bus_problem.m 2KB
gm_corr.m 2KB
sa_bus_problem.m 2KB
para_count.m 2KB
switch_lane.m 2KB
sa_01knapsack.m 2KB
forset_ca_spread.m 2KB
rbf_network_tools_use.m 2KB
sa_01knapsack.m 2KB
new_cars.m 2KB
rbf_network_tools_use.m 2KB
natural_code_new_solution.m 1KB
natural_code_new_solution.m 1KB
Dijkstra.m 1KB
cellular.m 1KB
move_forward.m 1KB
Dijkstra.m 1KB
Logistic.m 1KB
CiclingCompetition.m 1KB
CiclingCompetition.m 1KB
shang.m 979B
fitnessfun.m 773B
SVM_L.m 772B
forset_fire_cell.m 771B
gm_corr_fire.m 759B
fitnessfun.m 750B
PCA.m 749B
M_M_1.m 731B
startmatlabpool.m 730B
forest_fire.m 672B
FloydSingle.m 658B
yalmip_learning.m 652B
binary_code_new_solution.m 629B
FloydSingle.m 628B
AHP.m 626B
ga_use.m 615B
binary_code_new_solution.m 603B
ga_use.m 601B
my_plot.m 590B
show_plaza.m 585B
crossover.m 532B
crossover.m 521B
SVM_NL.m 512B
keamn_use.m 503B
clusterdata_use_simple.m 409B
mutation.m 331B
random_slow.m 329B
mutation.m 323B
system_cluster_use_complex.m 321B
Floyd.m 304B
selection.m 300B
Floyd.m 289B
selection.m 287B
fit.m 270B
create_plaza.m 267B
test.m 267B
transform2to10.m 232B
transform2to10.m 225B
IfCroIfMut.m 200B
IfCroIfMut.m 193B
test.m 164B
targetfun.m 160B
targetfun.m 156B
fitness.m 143B
fitness.m 138B
closematlabpool.m 94B
testParallel.m 90B
fitness.m 58B
fitness.m 56B
test.m 42B
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