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兰州理工大学 [23]

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	Material analysis and big data monitoring of sports training equipment based on machine learning algorithm 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2021, 卷号: 34, 期号: 4, 页码: 2749-2763 作者: Zhang, Lei; Li, Ning 收藏 \| 浏览/下载：3/0 \| 提交时间：2021/06/03 Machine learning Algorithm comparison Perovskite Material properties Prediction Physical training
	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
	Dissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm 期刊论文 APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 2 作者: Du, Xianjun; Wang, Junlu; Jegatheesan, Veeriah; Shi, Guohua 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/11/15 dissolved oxygen concentration radial basis function (RBF) neural network adaptive PID dynamic simulation
	An Optimal Control for Differential Pressure of Chilled Water in Air Conditioning System 会议论文作者: Jiang, Hongmei; Li, Zhanming; Tang, Weiqiang 收藏 \| 浏览/下载：0/0 \| 提交时间：2019/11/15 Air conditioning system Differential pressure NN Control Energy saving
	Optimization strategy of neural network based on hybrid invasive weed arithmetic 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2013, 卷号: 33, 期号: 4, 页码: 634-639 作者: Peng, Bin; Hu, Changan; Zhao, Rongzhen 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/11/14 Failure analysis Fault detection Genetic algorithms Optimization Connection weights Crossover operator Invasive weed optimization Model parameters Neural network (nn) Optimization strategy Spectral entropy Vector tracking
	Location selection of public transit transfer hubs based on gray NN model improved by GA 会议论文 Xiamen, China, December 27, 2012 - December 28, 2012 作者: An, Tang Min; Ming, Wang Xiao; Shuang, Yuan; Rong, Sun Zhen 收藏 \| 浏览/下载：22/0 \| 提交时间：2020/11/15 Forecasting Genetic algorithms Neural networks Optical materials Soft computing System theory Traffic control Urban transportation Empirical analysis Flow based Forecast method Gray characteristics Gray neural networks Gray system theory Improve performance Lanzhou cities Location selection Optimized models Poor information Public transit Public transport Small samples Traffic flow Traffic systems
	Structure design of twin-spirals scroll compressor based on 3C 期刊论文 Journal of Software, 2012, 卷号: 7, 期号: 9, 页码: 2009-2017 作者: Peng, Bin; L., Zhang; R., Zhao; H., Zhang; Y., Zheng 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/14 Computer aided design Computer aided engineering Conceptual design Genetic algorithms Optimization Particle swarm optimization (PSO) Product design Simulated annealing Structural optimization Virtual prototyping GA (genetic algorithm) Ga-hpso Optimization design Performance prediction PSO(particle swarm optimization) Structure optimization Swarm intelligence algorithms TSSC
	The investigation of fault diagnosis based on GA-HPSO-NN 期刊论文 Journal of Computers (Finland), 2012, 卷号: 7, 期号: 10 SPL.ISS., 页码: 2511-2517 作者: Peng, Bin; Hu, Chang-an; Zhao, Rong-zhen; Zheng, Yu-qiao 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/14 Failure analysis Particle swarm optimization (PSO) Simulated annealing Fault data Fault diagnosis method Fault signal GA-HPSO-NN Information entropy Input and outputs Local minimums Novel algorithm Quantitative accuracy Rotor fault Spectral entropy
	A Hybrid Approach Based on Artificial Neural Network(ANN) and Differential Evolution(DE) for Job-shop Scheduling 会议论文作者: Zhao, Fuqing; Zou, Jianhua; Yang, Yahong 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/15 Job shop scheduling Artificial Neural Network Differential Evolution Constraint neural network
	A hybrid approach based on Artificial Neural Network(ANN) and Differential Evolution(DE) for job-shop scheduling problem 会议论文 Luoyang, China, September 4, 2010 - September 5, 2010 作者: Zhao, Fuqing; Zou, Jianhua; Yang, Yahong 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/15 Computer simulation Evolutionary algorithms Mechanical engineering Optimal systems Optimization Production engineering Artificial Neural Network Constraint analysis Constraint neural network Constraint neural networks Differential Evolution Feasible solution Feedback adjustment Fixed sequence Gradient search algorithms Hybrid approach Hybrid scheduling Job shop scheduling problems Job-Shop scheduling Optimal solutions Optimization scheduling Production scheduling problems Sequence optimization Simulation experiments

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