基于VMD和深度学习的污水出水水质预测.docx

基于VMD和深度学习的污水出水水质预测

目录

1.内容概览................................................3

1.1研究背景.............................................3

1.2研究意义.............................................4

1.3研究目的.............................................6

2.文献综述................................................7

2.1VMD技术在水质预测中的应用............................8

2.2深度学习在水质预测中的应用...........................9

2.3结合VMD和深度学习的模型研究.........................10

3.研究方法...............................................12

3.1数据采集与处理......................................12

3.1.1数据来源........................................13

3.1.2数据预处理......................................14

3.2VMD分解步骤详解.....................................15

3.2.1能量指标分析....................................16

3.2.2VMD参数设置.....................................17

3.3深度学习模型构建....................................17

3.3.1网络结构设计....................................19

3.3.2损失函数与优化算法..............................20

3.4模型融合与优化......................................20

3.4.1融合策略........................................22

3.4.2优化方法........................................23

4.实验与分析.............................................24

4.1实验设计............................................25

4.1.1实验数据集......................................26

4.1.2实验指标........................................27

4.2VMD分解结果分析.....................................27

4.2.1能量分布特征....................................29

4.2.2分解成分分析....................................30

4.3深度学习模型预测结果验证............................31

4.3.1模型性能评估....................................32

4.3.2特征重要性分析..................................33

4.4结合VMD和深度学习的预测效果分析.....................35

4.4.1预测准确性比较..................................36

4.4.2预测鲁棒性分析..................................37

5.结果与讨论.............................................38

5.1VMD分解结果对预测模型的影响.........................39

5.2深度学习模型在不同水质