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	Membrane Fouling Prediction Based on Tent-SSA-BP 期刊论文 Membranes, 2022, 卷号: 12, 期号: 7 作者: Ling, Guobi; Wang, Zhiwen; Shi, Yaoke; Wang, Jieying; Lu, Yanrong 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/08/09 Bioreactors Forecasting Genetic algorithms Learning algorithms Mapping Membrane fouling Particle swarm optimization (PSO) Chaotic mapping Membrane bioreactor Membrane flux prediction Membrane fluxes Network models Search Algorithms Sparrow search algorithm Tent chaotic mapping Tent sparrow search algorithm back propagation network model
	Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter 期刊论文 JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2022, 卷号: 127, 期号: 5, 页码: 15 作者: Ma, Xueying; Mu, Mu; Dai, Guokun; Han, Zhe; Li, Chunxiang 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/07/15
	A New CIGWO-Elman Hybrid Model for Power Load Forecasting 期刊论文 JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2021, 卷号: 17, 期号: 2, 页码: 1319-1333 作者: Hao, Jie; Zhu, Changsheng; Guo, Xiuting 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/12/17 Chaotic sequence CIGWO-Elman Feedback coefficient Inertia weight PSO Power load forecasting Random cosine function
	Prediction of external corrosion rate of oil pipeline based on improved IFA-BPNN 期刊论文 Surface Technology, 2021, 卷号: 50, 期号: 4, 页码: 285-293 作者: Ling, Xiao; Xu, Lu-Shuai; Gao, Jia-Cheng; Ma, Juan-Juan; Ma, He-Qing 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Bioluminescence Corrosion rate Forecasting Genetic algorithms Global optimization Machine learning Mapping MATLAB Particle swarm optimization (PSO) Pipelines Predictive analytics Turing machines Water pipelines Average relative error Comparative analysis Function convergence Long distance pipelines Machine learning models Optimization ability Prediction accuracy Simulation calculation
	Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction 期刊论文 WATER RESOURCES MANAGEMENT, 2020, 卷号: 34, 期号: 11, 页码: 3515-3531 作者: Jiang, Yan; Bao, Xin; Hao, Shaonan; Zhao, Hongtao; Li, Xuyong 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/08/31 Streamflow prediction Chaohe River basin Chaotic dynamic characteristics Phase space reconstruction Extreme learning machine Improved particle swarm optimization algorithm
	A Parallel Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Heterogeneous Markov Random Field 期刊论文 IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2020, 卷号: 19, 期号: 3, 页码: 538-546 作者: Lv, Zhilong; Mi, Fubo; Wu, Zhongke; Zhu, Yicheng; Liu, Xinyu 收藏 \| 浏览/下载：23/0 \| 提交时间：2020/12/10 Gaussian distribution Image segmentation Particle swarm optimization Optimization Histograms Markov random fields Robustness Three-dimensional cerebrovascular segmentation focused multi-Gaussians model Chaotic oscillation particle swarm optimization Markov random field
	A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation 会议论文 New York city, NY, United states, July 26-28, 2019 作者: Zeng P(曾鹏); Ran, Ran; Li, Zhao; Song CH(宋纯贺); Shen, Yang 收藏 \| 浏览/下载：28/0 \| 提交时间：2019/08/18
	Improved Chaotic Particle Swarm Optimization Algorithm with More Symmetric Distribution for Numerical Function Optimization 期刊论文 SYMMETRY-BASEL, 2019, 卷号: 11, 期号: 7 作者: Ma, Zhiteng; Yuan, Xianfeng; Han, Sen; Sun, Deyu; Ma, Yan 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/11 particle swarm optimizer metaheuristic nonlinear dynamic weights dynamic learning factors numerical optimization functions
	BDS/GPS integrated navigation satellite selection algorithm based on chaos particle swarm optimization [基于混沌粒子群优化的北斗/GPS组合导航选星算法] 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 卷号: 45, 页码: 259-265 作者: Wang, E.; Jia, C.; Qu, P.; Huang, Y.; Pang, T. 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/30 Air navigation Chaotic systems Geometry Navigation Particle swarm optimization (PSO) Probability distributions Satellites Signal receivers Chaos particle swarm optimizations Fitness functions Geometric dilution of precision Integrated navigation Satellite selections Global positioning system
	A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation 会议论文 New York city, NY, United states, July 26-28, 2019 作者: Shen L(沈力); Shen, Yang; Song CH(宋纯贺); Li, Zhao; Ran, Ran 收藏 \| 浏览/下载：103/0 \| 提交时间：2019/08/18

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