水资源与水工程学报2026，Vol.37Issue(3)：74-81,90,9.DOI:10.11705/j.issn.1672-643X.2026.03.09
基于MLP-KAN神经网络的真空膜蒸馏废水处理系统性能预测研究
Performance prediction of vacuum membrane distillation system for wastewater treatment based on MLP-KAN neural network
摘要
Abstract
Vacuum membrane distillation(VMD)is an innovative technology for resource recovery of high-salinity wastewater.To realize the intelligent operation of VMD system,a hybrid prediction model integrating multi-layer perceptron and Kolmogorov-Arnold network(MLP-KAN)was established.Firstly,a VMD experimental device was built,and multi-condition experiments were carried out with sul-furic acid solution as feeding to acquire 305 groups of sample data.The data were subsequently divided into training,validation and testing sets at the ratio of 7.0∶1.5∶1.5 for prediction analysis of permeate flux.Research results indicated that predicted values matched actual values well.The determination coef-ficient(R2)reached 0.971 for the testing set and 0.995 for the training set,while the corresponding root mean squared error(RMSE)was 0.099 2 and 0.044 7 kg/(m2·h),respectively.The MLP-KAN model possesses outstanding stability,generalization performance and robustness.It can accurately pre-dict the permeate flux,which offers solid technical foundation for parameter optimization and intelligent operation of the VMD system.关键词
真空膜蒸馏/智能运行/硫酸溶液/多层感知器-科尔莫哥罗夫阿诺德网络模型/渗透通量Key words
vacuum membrane distillation/intelligent operation/sulfuric acid solution/multi-layer per-ceptron and Kolmogorov-Arnold network(MLP-KAN)model/permeate flux分类
资源环境引用本文复制引用
高星雨,司泽田,司瑜,周文和,付宁..基于MLP-KAN神经网络的真空膜蒸馏废水处理系统性能预测研究[J].水资源与水工程学报,2026,37(3):74-81,90,9.基金项目
甘肃省科技厅青年科技基金项目(24JRRA265) （24JRRA265）
甘肃省教育厅青年博士入企入园项目(2024QB-043) （2024QB-043）
兰州市科技局青年人才创新项目(2024-QN-122) （2024-QN-122）
甘肃省科技厅科技专员项目(25CXGA027) （25CXGA027）
国家自然科学基金项目(52560025) （52560025）
