MATLAB神经网络优化算法.zip

[{"title":"（ 35 个子文件 27.49MB ） MATLAB神经网络优化算法.zip","children":[{"title":"project_code_20703","children":[{"title":"Python数据结构与算法（En）.chm <span style='color:#111;'> 3.34MB </span>","children":null,"spread":false},{"title":"Matlab与机器学习与算法","children":[{"title":"05 竞争神经网络与SOM神经网络","children":[{"title":"Class_5_Code.rar <span style='color:#111;'> 5.83KB </span>","children":null,"spread":false}],"spread":true},{"title":"04RBF、GRNN和PNN神经网络","children":[{"title":"Class_4.pdf <span style='color:#111;'> 611.62KB </span>","children":null,"spread":false},{"title":"Homework_Dataset.rar <span style='color:#111;'> 6.79KB </span>","children":null,"spread":false},{"title":"Class_4_Code.rar <span style='color:#111;'> 213.12KB </span>","children":null,"spread":false}],"spread":true},{"title":"06 支持向量机（Support Vector Machine, SVM）","children":[{"title":"Class_6.pdf <span style='color:#111;'> 540.69KB </span>","children":null,"spread":false},{"title":"Class_6_Code.rar <span style='color:#111;'> 521.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"02MATLAB进阶与提高","children":[{"title":"Class_2.pdf <span style='color:#111;'> 673.72KB </span>","children":null,"spread":false},{"title":"Class_2_Code.rar <span style='color:#111;'> 14.44KB </span>","children":null,"spread":false}],"spread":true},{"title":"09 遗传算法（Genetic Algorithm, GA）","children":[{"title":"Class_9.pdf <span style='color:#111;'> 578.44KB </span>","children":null,"spread":false},{"title":"Class_9_Code.rar <span style='color:#111;'> 134.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"11蚁群算法（Ant Colony Algorithm, ACA）","children":[{"title":"Class_11_Code.rar <span style='color:#111;'> 26.33KB </span>","children":null,"spread":false},{"title":"Class_11.pdf <span style='color:#111;'> 664.47KB </span>","children":null,"spread":false},{"title":"作业.txt <span style='color:#111;'> 281B </span>","children":null,"spread":false}],"spread":true},{"title":"13降维与特征选择","children":[{"title":"References.rar <span style='color:#111;'> 7.81MB </span>","children":null,"spread":false},{"title":"作业.txt <span style='color:#111;'> 310B </span>","children":null,"spread":false},{"title":"Class_13_Code.rar <span style='color:#111;'> 43.77KB </span>","children":null,"spread":false},{"title":"Class_13.pdf <span style='color:#111;'> 604.57KB </span>","children":null,"spread":false}],"spread":true},{"title":"12模拟退火算法（Simulated Annealing, SA）","children":[{"title":"Class_12_Code.rar <span style='color:#111;'> 132.14KB </span>","children":null,"spread":false},{"title":"作业.txt <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"Class_12.pdf <span style='color:#111;'> 471.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"10 粒子群优化（Particle Swarm Optimization, PSO）算法","children":[{"title":"Class_10.pdf <span style='color:#111;'> 569.73KB </span>","children":null,"spread":false},{"title":"Class_10_Code.rar <span style='color:#111;'> 1.73MB </span>","children":null,"spread":false}],"spread":true},{"title":"07 极限学习机（Extreme Learning Machine, ELM）","children":[{"title":"Class_7_Code.rar <span style='color:#111;'> 201.01KB </span>","children":null,"spread":false},{"title":"Class_7.pdf <span style='color:#111;'> 528.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"08 决策树与随机森林","children":[{"title":"Class_8.pdf <span style='color:#111;'> 621.98KB </span>","children":null,"spread":false},{"title":"Class_8_Code.rar <span style='color:#111;'> 969.63KB </span>","children":null,"spread":false},{"title":"MacOS_precompiled-WITHOUT_SOURCE-v0.02.tar <span style='color:#111;'> 350.00KB </span>","children":null,"spread":false},{"title":"Windows-Precompiled-RF_MexStandalone-v0.02-.zip <span style='color:#111;'> 445.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"03BP神经网络","children":[{"title":"Class_3.pdf <span style='color:#111;'> 878.69KB </span>","children":null,"spread":false},{"title":"Class_3_Code.rar <span style='color:#111;'> 180.98KB </span>","children":null,"spread":false},{"title":"Homework_Dataset.rar <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"全球100款大数据工具.pages <span style='color:#111;'> 789.29KB </span>","children":null,"spread":false},{"title":"算法导论 第三版英文版 有索引.pdf <span style='color:#111;'> 4.84MB </span>","children":null,"spread":false},{"title":"数据挖掘十大经典算法.pdf <span style='color:#111;'> 254.82KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]