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	Milling residual stress of macro-forecast based on RBF and micro-analysis based on molecular dynamics 期刊论文 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 卷号: 28, 期号: 5, 页码: 1385-1392 作者: Jin, Lan; Zhang, Xuefeng; Xie, Liming 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/06/20 Forecasting Functions Milling (machining) Molecular dynamics Residual stresses Surface stress Turning Cutting parameters Function analysis Micro analysis Neural network predictions Performance Prediction accuracy Radial basis function neural networks (RBF) Simulation Surface residual stress Workpiece
	Power load data preprocessing based on PFCM algorithm and neural network 会议论文 Chongqing, China, May 24, 2019 - May 26, 2019 作者: Hao, Xiaohong; Zhang, Chunyan; Li, Hang; Wang, Weizhou; Liu, Fuchao 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/11/15 Classification (of information) Curve fitting Electric load dispatching Electric power plant loads Electric power transmission networks Genetic algorithms Radial basis function networks Statistics Average relative error Clustering results Genetic-algorithm optimizations Number of clusters Outliers Power load RBF Neural Network Trained neural networks
	A Catfish Effect Based Team Recommendation System 会议论文 2nd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2018, London, United kingdom, 2018-10-30 作者: Ning, Zhaolong; Zeng, Xing; Fu, Manqing; Bekele, Teshome Megersa; Wang, Xiaojie 收藏 \| 浏览/下载：47/0 \| 提交时间：2019/12/02 Learning systems Radial basis function networks Sustainable development Transportation, Biological phenomena Catfish Effect Multi disciplines Multiple disciplines Network heterogeneity Potential impacts RBF Neural Network Structural diversity, Recommender systems
	Robust Adaptive Sliding Mode Neural Networks Control for Industrial Robot Manipulators 期刊论文 International Journal of Control, Automation and Systems, 2019, 卷号: Vol.17 No.3, 页码: 783-792 作者: Yen, VT; Nan, WY; Cuong, PV 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/17 Adaptive control industrial robot neural networks RBF network
	WRL: A combined model for short-term load forecasting 期刊论文 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 卷号: 11641 LNCS, 页码: 35-42 作者: Liu, Yuecan; Zhang, Kun; Zhen, Shuai; Guan, Yongming; Shi, Yuliang 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/11 Adjustment factors Bi-LSTM networks Load forecasting RBF neural networks Wavelet Decomposition
	Fault diagnosis and health assessment for super-heterodyne receivers based on ITD-SVD and LR 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 463, 页码: 677-685 作者: Wang, M.; Sun, J.; Lu, C.; Qi, L. 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/30 Failure analysis Health Heterodyning Radial basis function networks Radio receivers Regression analysis Singular value decomposition Health assessments Intrinsic time-scale decompositions Logistic regressions Radial basis function neural networks RBF Neural Network Rotation components Singular values Superheterodyne receivers Fault detection
	Adaptive Position and Force Tracking Control in Teleoperation System with Time-Varying Delays 会议论文 Shenyang, China, August 8, 2019 - August 11, 2019 作者: Zhang, Haochen; Song, Aiguo; Li, Huijun 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Control theory Controllers Errors Navigation Radial basis function networks Remote control Robotics Time delay Time varying control systems Adaptive Control Force tracking RBF Neural Network Teleoperation systems Time varying- delays
	RBF neural network tuning PID control based on UMAC [基于UMAC的RBF神经网络PID控制] 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2018, 卷号: 44, 页码: 2063-2070 作者: Li, M.; Feng, H.; Zhang, Y. 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/12/30 Controllers Fuzzy inference Radial basis function networks Robust control Robustness (control systems) Step response Control parameters Dynamic tracking Fuzzy - pid controls RBF Neural Network Self-adaptability Static dynamics Tracking response Universal motion and automation controllers Three term control systems
	A RBFNN-based method for the prediction of the developed height of a water-conductive fractured zone for fully mechanized mining with sublevel caving 期刊论文 ARABIAN JOURNAL OF GEOSCIENCES, 2017, 卷号: 10, 期号: 7 作者: Wu, Qiang; Shen, Jianjun; Liu, Weitao; Wang, Yang 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/11 RBF neural networks Fullymechanized longwall mining with sublevel caving Height of water-conductive fractured zone Samples for training Predictionmodel Field measurement
	Interval model updating using perturbation method and Radial Basis Function neural networks 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 卷号: 84, 页码: 699-716 作者: Deng, Zhongmin; Guo, Zhaopu; Zhang, Xinjie 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Parameter variability Interval model updating Perturbation technique RBF neural networks

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