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elmtrain
- 将整个数据集中的103个样本随机划分为训练集与测试集,其中训练集包含80个样本,测 试集包含23个样本; 建立极限学习机模型,并训练; 利用训练好的极限学习机模型对测试集中的23个样本进行预测; 输出结果并绘图(真实值与预测值对比图); -The 103 random samples of the entire data set is divided into training set and te
基于极限学习机的预测
- 针对非线性预测问题,建立极限学习机的预测模型,将数据样本分为训练样本和测试样本,并采用误差指标进行评价。(Aiming at the problem of non-linear prediction, the prediction model of extreme learning machine is established. The data samples are divided into training samples and