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



test set, wherein the training set contains 80 samples, measuring



Test set contains 23 samples

Establish ELM model, and training

Limit the use of the trained learning machine model test set of 23 samples to



predict

Output and graphics (real and predicted values comparison chart)