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兰州理工大学 [10]

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限定条件	专题：兰州理工大学第一署名单位第一作者单位通讯作者单位

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	Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN 期刊论文 Journal of Control Science and Engineering, 2020, 卷号: 2020 作者: Osman, Yousuf Babiker M.; Osman, Yousuf Babiker M.; Li, Wei; Li, Wei 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/11/14 Biochemical oxygen demand Deep learning Effluent treatment Effluents Genetic algorithms Gradient methods Learning systems Parameter estimation Reclamation Sewage treatment plants Stochastic systems Real time measurements Secondary variables Soft sensor models Stochastic gradient descent Strong correlation Wastewater treatment plants Wastewater treatment process Weight parameters
	A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 3 作者: 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 Biochemical oxygen demand (BOD) cuckoo search algorithm (CSA) extreme learning machine (ELM) soft sensor wastewater treatment process
	Multi-model Dynamic Fusion Soft-sensing Modeling and Its Application 会议论文作者: Lu, Chunyan; Li, Wei; Zhu, Chaoqun 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 Soft sensor Fuzzy c-means clustering Radial basis function Least square support vector machine Gauss-Markov estimation
	Dynamic soft sensor modeling based on state detection and impulses response template 会议论文 Changsha, China, May 31, 2014 - June 2, 2014 作者: Fan, Zhi; Cao, Jie; Wei, Yujie 收藏 \| 浏览/下载：29/0 \| 提交时间：2020/11/15 Forecasting Mass transfer Optimal control systems Particle swarm optimization (PSO) Accurate prediction Dynamic soft sensor Impulses Response Template Melt mass flow rates Prediction accuracy Soft sensors State Detection Swarm optimization algorithms
	Dynamic Soft Sensor Modeling Based on State Detection and Impulses Response Template 会议论文作者: Fan, Zhi; Cao, Jie; Wei, Yujie 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 Soft Sensor Melt Mass Flow Rate State Detection Impulses Response Template Particle Swarm Optimization
	Study on BPNN based welding joint properties soft sensing method 会议论文作者: Yufen, Gu; Cheng, Xue; Yu, Shi; Ding, Fan 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/11/15 MATLAB Mechanical properties Neural networks BP neural networks Mechanical properties testing Soft sensing Soft sensing method Soft sensor models Soft-sensing model Welding joints Welding thermal cycles
	Application of soft sensor based on LS-SVM on estimation of alumina powder flow 会议论文 Zhangjiajie, Hunan, China, April 11, 2009 - April 12, 2009 作者: Lu, Chunyan; Li, Wei; Liu, Weirong 收藏 \| 浏览/下载：9/0 \| 提交时间：2020/11/15 Alumina Aluminum oxide Support vector machines Alumina powder Electrolytic aluminum Generalization ability Least square support vector machines Least squares support vector machines Simulation research Soft sensor models Soft sensors
	Application of Soft Sensor based on LS-SVM on Estimation of Alumina Powder Flow 会议论文作者: Lu, Chunyan; Li, Wei; Liu, Weirong 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 Least Square Support Vector Machine alumina powder flow soft sensor RBF
	Study on least squares support vector machines algorithm and its application 会议论文作者: Zhang, MG; Li, ZM; Li, WH 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 least squares support vector machines (LS-SVM) SVM identification, soft-sensor modeling
	Soft-sensor modeling method based on support vector machines 会议论文作者: Zhang, MG; Yan, WW 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 soft-sensor modeling support vector machines

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