在模型的求解上，经对多元回归、人工神经网络和支持向量机进行具体的分析后，选用了较为老到的BP算法。结果表明，模型猜想的相对误差平均为20％左右，能满足实践使用的请求
_rels\.rels

(In the solution of the model, after the detailed analysis of multiple regression, artificial neural network and support vector machine, the more old BP algorithm is selected. The results show that the average relative error of the model guess is about 20%, which can meet the requirements of practical use
_rels\.rels)

[下载]11503169103.rar

2022-8-15 11:50 上传

文件大小: 168 KB
下载次数: 0

在模型的求解上，经对多元回归、人工神经网络和支持向量机进行具体的分析后，选用了较为老到的BP算法。结果表明，模型猜想的相对误差平均为20％左右，能满足实践使用的请求
_rels\.rels

(In the solution of the model, after the detailed analysis of multiple regression, artificial neural network and support vector machine, the more old BP algorithm is selected. The results show that the average relative error of the model guess is about 20%, which can meet the requirements of practical use
_rels\.rels)

[下载]11503169103.rar

2022-8-15 11:50 上传

文件大小: 168 KB
下载次数: 0