《MATLAB+神经网络30个案例分析》程序和数据

[{"title":"（ 31 个子文件 7.54MB ） 《MATLAB+神经网络30个案例分析》程序和数据","children":[{"title":"《MATLAB+神经网络30个案例分析》程序和数据.zip <span style='color:#111;'> 5.39MB </span>","children":null,"spread":false},{"title":"案例","children":[{"title":"案例10：离散Hopfield神经网络的分类——高校科研能力评价.docx <span style='color:#111;'> 125.50KB </span>","children":null,"spread":false},{"title":"案例27：遗传算法的优化计算——输入自变量降维.docx <span style='color:#111;'> 117.12KB </span>","children":null,"spread":false},{"title":"案例4：遗传算法优化BP神经网络-非线性函数拟合.docx <span style='color:#111;'> 74.43KB </span>","children":null,"spread":false},{"title":"案例20神经网络变量筛选—基于BP的神经网络变量筛选.docx <span style='color:#111;'> 53.45KB </span>","children":null,"spread":false},{"title":"~$27：遗传算法的优化计算——输入自变量降维.docx <span style='color:#111;'> 162B </span>","children":null,"spread":false},{"title":"案例28 基于灰色神经网络的预测算法研究—订单需求预测.docx <span style='color:#111;'> 14.25KB </span>","children":null,"spread":false},{"title":"案例1：BP神经网络的数据分类—语音特征信号分类.docx <span style='color:#111;'> 93.82KB </span>","children":null,"spread":false},{"title":"案例3：神经网络遗传算法函数极值寻优-非线性函数极值寻优.docx <span style='color:#111;'> 58.47KB </span>","children":null,"spread":false},{"title":"案例25 粒子群算法的寻优算法-非线性函数极值寻优.docx <span style='color:#111;'> 14.74KB </span>","children":null,"spread":false},{"title":"案例12 SVM神经网络的数据分类预测-意大利葡萄酒种类识别.docx <span style='color:#111;'> 103.71KB </span>","children":null,"spread":false},{"title":"案例7：RBF网络的回归-非线性函数回归的实现.docx <span style='color:#111;'> 170.90KB </span>","children":null,"spread":false},{"title":"案例11：连续Hopfield神经网络的优化——旅行商问题优化计算.docx <span style='color:#111;'> 80.11KB </span>","children":null,"spread":false},{"title":"案例14 SVM神经网络的回归预测分析---上证指数开盘指数预测.docx <span style='color:#111;'> 197.31KB </span>","children":null,"spread":false},{"title":"案例21：LVQ神经网络的分类——乳腺肿瘤诊断.docx <span style='color:#111;'> 98.81KB </span>","children":null,"spread":false},{"title":"案例24：小波神经网络的时间序列预测-短时交通流量预测.docx <span style='color:#111;'> 42.29KB </span>","children":null,"spread":false},{"title":"案例13 SVM神经网络中的参数优化---提升分类器性能.docx <span style='color:#111;'> 287.57KB </span>","children":null,"spread":false},{"title":"案例29：基于Kohonen网络的聚类算法-网络入侵聚类.docx <span style='color:#111;'> 15.99KB </span>","children":null,"spread":false},{"title":"案例2 BP神经网络的非线性系统建模-非线性函数拟合.docx <span style='color:#111;'> 57.41KB </span>","children":null,"spread":false},{"title":"案例26 广义神经网络的聚类算法-网络入侵聚类.docx <span style='color:#111;'> 38.27KB </span>","children":null,"spread":false},{"title":"案例23基于模糊神经网络的拟合算法-标准函数拟合.docx <span style='color:#111;'> 56.91KB </span>","children":null,"spread":false},{"title":"案例17：单层竞争神经网络的数据分类—患者癌症发病预测.docx <span style='color:#111;'> 186.18KB </span>","children":null,"spread":false},{"title":"案例15 SVM神经网络的信息粒化时序回归预测.docx <span style='color:#111;'> 14.10KB </span>","children":null,"spread":false},{"title":"案例6 基于BP_Adaboost的强分类器设计-公司财务预警建模.docx <span style='color:#111;'> 15.21KB </span>","children":null,"spread":false},{"title":"案例5：PID神经元网络解耦控制算法-多变量系统控制.docx <span style='color:#111;'> 69.68KB </span>","children":null,"spread":false},{"title":"案例16：SOM神经网络的数据分类--柴油机故障诊断.docx <span style='color:#111;'> 160.03KB </span>","children":null,"spread":false},{"title":"案例30：神经网络GUI的实现.docx <span style='color:#111;'> 315.52KB </span>","children":null,"spread":false},{"title":"案例19 概率神经网络的分类预测-基于PNN的变压器故障诊断.docx <span style='color:#111;'> 86.15KB </span>","children":null,"spread":false},{"title":"案例9：离散Hopfield神经网络的联想记忆—数字识别.docx <span style='color:#111;'> 57.41KB </span>","children":null,"spread":false},{"title":"案例22：LVQ神经网络的预测——人脸朝向识别.docx <span style='color:#111;'> 76.41KB </span>","children":null,"spread":false},{"title":"案例18Elman神经网络的数据预测—电力负荷预测模型研究.docx <span style='color:#111;'> 73.35KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]