30个数学建模智能算法及MATLAB程序代码.zip

[{"title":"（ 30 个子文件 1.44MB ） 30个数学建模智能算法及MATLAB程序代码.zip","children":[{"title":"30个数学建模智能算法及MATLAB程序代码","children":[{"title":"chapter30极限学习机的回归拟合及分类.rar <span style='color:#111;'> 172.09KB </span>","children":null,"spread":false},{"title":"chapter21模拟退火算法工具箱及应用.rar <span style='color:#111;'> 713B </span>","children":null,"spread":false},{"title":"chapter9基于遗传算法的多目标优化算法.rar <span style='color:#111;'> 705B </span>","children":null,"spread":false},{"title":"chapter28支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断 .rar <span style='color:#111;'> 8.37KB </span>","children":null,"spread":false},{"title":"chapter18鱼群算法函数寻优.rar <span style='color:#111;'> 7.47KB </span>","children":null,"spread":false},{"title":"chapter7多种群遗传算法的函数优化算法.rar <span style='color:#111;'> 4.03KB </span>","children":null,"spread":false},{"title":"chapter13粒子群优化算法的寻优算法.rar <span style='color:#111;'> 717.65KB </span>","children":null,"spread":false},{"title":"chapter22蚁群算法的优化计算——旅行商问题(TSP)优化 .rar <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"chapter25有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测.rar <span style='color:#111;'> 169.09KB </span>","children":null,"spread":false},{"title":"chapter14基于粒子群算法的PID控制器优化设计.rar <span style='color:#111;'> 141.36KB </span>","children":null,"spread":false},{"title":"chapter26.rar <span style='color:#111;'> 2.89KB </span>","children":null,"spread":false},{"title":"chapter20基于遗传模拟退火算法的聚类算法.rar <span style='color:#111;'> 11.29KB </span>","children":null,"spread":false},{"title":"chapter10基于粒子群算法的多目标搜索算法.rar <span style='color:#111;'> 2.52KB </span>","children":null,"spread":false},{"title":"chapter29支持向量机的回归拟合——混凝土抗压强度预测.rar <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"chapter1遗传算法工具箱.rar <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"chapter19基于模拟退火算法的TSP算法.rar <span style='color:#111;'> 4.88KB </span>","children":null,"spread":false},{"title":"chapter12免疫优化算法在物流配送中心选址中的应用 .rar <span style='color:#111;'> 28.00KB </span>","children":null,"spread":false},{"title":"chapter24 基于蚁群算法的三维路径规划算法.rar <span style='color:#111;'> 5.55KB </span>","children":null,"spread":false},{"title":"chapter5基于遗传算法的LQR控制器优化设计.rar <span style='color:#111;'> 92.15KB </span>","children":null,"spread":false},{"title":"chapter4sa_tsp.rar <span style='color:#111;'> 7.09KB </span>","children":null,"spread":false},{"title":"chapter11基于多层编码遗传算法的车间调度算法.rar <span style='color:#111;'> 10.71KB </span>","children":null,"spread":false},{"title":"chapter3基于遗传算法的BP神经网络优化算法 .rar <span style='color:#111;'> 4.61KB </span>","children":null,"spread":false},{"title":"chapter15基于混合粒子群算法的TSP搜索算法 .rar <span style='color:#111;'> 12.14KB </span>","children":null,"spread":false},{"title":"chapter23基于蚁群算法的二维路径规划算法.rar <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false},{"title":"chapter6遗传算法工具箱详解及应用 .rar <span style='color:#111;'> 628B </span>","children":null,"spread":false},{"title":"chapter27无导师学习神经网络的分类——矿井突水水源判别.rar <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false},{"title":"chapter17基于PSO工具箱的函数优化算法.rar <span style='color:#111;'> 31.90KB </span>","children":null,"spread":false},{"title":"chapter8基于量子遗传算法的函数寻优算法 .rar <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"chapter2基于遗传算法和非线性规划的函数寻优算法 .rar <span style='color:#111;'> 26.05KB </span>","children":null,"spread":false},{"title":"chapter16 基于动态粒子群算法的动态环境寻优算法.rar <span style='color:#111;'> 18.15KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]