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Modelling and Prediction of Surface Roughness and Power Consumption Using Parallel Extreme Learning Machine Based Particle Swarm Optimization
Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2014 Volume 2
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10.1007/978-3-319-14066-7_31
◽
2015
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pp. 321-329
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Cited By ~ 4
Author(s):
Nooraziah Ahmad
◽
Tiagrajah V. Janahiraman
Keyword(s):
Surface Roughness
◽
Particle Swarm Optimization
◽
Power Consumption
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Swarm Optimization
◽
Learning Machine
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References
The Optimisation of Surface Roughness using Extreme Learning Machine and Particle Swarm Optimization
International Journal of Mechanical Engineering and Robotics Research
◽
10.18178/ijmerr.8.1.69-73
◽
2018
◽
pp. 69-73
Author(s):
Tiagrajah V. Janahiraman
◽
Nooraziah Ahmad
◽
Tuan Ab Rashid bin Tuan Abdullah
Keyword(s):
Surface Roughness
◽
Particle Swarm Optimization
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Swarm Optimization
◽
Learning Machine
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A delay prediction model for high-speed railway: an extreme learning machine tuned via particle swarm optimization
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
◽
10.1109/itsc45102.2020.9294457
◽
2020
◽
Author(s):
Yanqiu Li
◽
Xinyue Xu
◽
Jianmin Li
◽
Rui Shi
Keyword(s):
Particle Swarm Optimization
◽
Prediction Model
◽
Extreme Learning Machine
◽
High Speed
◽
Particle Swarm
◽
Swarm Optimization
◽
High Speed Railway
◽
Learning Machine
◽
Delay Prediction
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Soft-sensor for Mother Liquor Purity in The Industrial Cane Sugar Crystallization Based on Extreme Learning Machine and Particle Swarm Optimization
International Journal of Control and Automation
◽
10.14257/ijca.2014.7.7.33
◽
2014
◽
Vol 7
(7)
◽
Author(s):
Yanmei Meng
◽
Haifeng Pang
◽
Jian Chen
◽
Zhihong Tang
◽
Xiaochun Wang
Keyword(s):
Particle Swarm Optimization
◽
Extreme Learning Machine
◽
Mother Liquor
◽
Particle Swarm
◽
Cane Sugar
◽
Soft Sensor
◽
Swarm Optimization
◽
Learning Machine
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B-cell epitope prediction using Extreme Learning Machine and Particle Swarm Optimization-based undersampling
2017 Artificial Intelligence and Robotics (IRANOPEN)
◽
10.1109/rios.2017.7956440
◽
2017
◽
Cited By ~ 1
Author(s):
Maral Arvanaghi Jadid
◽
Mahnaz Habibi
Keyword(s):
Particle Swarm Optimization
◽
B Cell
◽
Extreme Learning Machine
◽
Cell Epitope
◽
Particle Swarm
◽
Epitope Prediction
◽
Swarm Optimization
◽
B Cell Epitope
◽
Learning Machine
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Classification of Rubber Vulcanizing Accelerators Based on Particle Swarm Optimization Extreme Learning Machine and Terahertz Spectra
Journal of Applied Spectroscopy
◽
10.1007/s10812-022-01313-9
◽
2022
◽
Author(s):
X. Yin
◽
W. He
◽
L. Wang
◽
W. Mo
◽
A. Li
Keyword(s):
Particle Swarm Optimization
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Swarm Optimization
◽
Learning Machine
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Prediction of cooling moisture content after cut tobacco drying process based on a particle swarm optimization-extreme learning machine algorithm
Mathematical Biosciences and Engineering
◽
10.3934/mbe.2021127
◽
2021
◽
Vol 18
(3)
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pp. 2496-2507
Author(s):
Ming Zhu
◽
◽
Kai Wu
◽
Yuanzhen Zhou
◽
Zeyu Wang
◽
...
Keyword(s):
Particle Swarm Optimization
◽
Moisture Content
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Drying Process
◽
Swarm Optimization
◽
Learning Machine
◽
Cut Tobacco
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A Prediction Method for Deck Motion of Aircraft Carrier Based on Particle Swarm Optimization and Kernel Extreme Learning Machine
Sensors and Materials
◽
10.18494/sam.2017.1588
◽
2017
◽
pp. 1291
Keyword(s):
Particle Swarm Optimization
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Prediction Method
◽
Aircraft Carrier
◽
Swarm Optimization
◽
Kernel Extreme Learning Machine
◽
Learning Machine
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An Improved Evolutionary Extreme Learning Machine Based on Multiobjective Particle Swarm Optimization
Intelligent Computing Methodologies - Lecture Notes in Computer Science
◽
10.1007/978-3-319-95957-3_1
◽
2018
◽
pp. 1-6
Author(s):
Jing Jiang
◽
Fei Han
◽
Qing-Hua Ling
◽
Ben-Yue Su
Keyword(s):
Particle Swarm Optimization
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Swarm Optimization
◽
Multiobjective Particle Swarm Optimization
◽
Learning Machine
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A novel prediction intervals method integrating an error & self-feedback extreme learning machine with particle swarm optimization for energy consumption robust prediction
Energy
◽
10.1016/j.energy.2018.08.180
◽
2018
◽
Vol 164
◽
pp. 137-146
◽
Cited By ~ 10
Author(s):
Yuan Xu
◽
Mingqing Zhang
◽
Liangliang Ye
◽
Qunxiong Zhu
◽
Zhiqiang Geng
◽
...
Keyword(s):
Particle Swarm Optimization
◽
Energy Consumption
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Prediction Intervals
◽
Swarm Optimization
◽
Learning Machine
◽
Robust Prediction
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IMPROVED VARIABLE-LENGTH PARTICLE SWARM OPTIMIZATION FOR STRUCTURE-ADJUSTABLE EXTREME LEARNING MACHINE
Control and Intelligent Systems
◽
10.2316/journal.201.2014.4.201-2618
◽
2014
◽
Vol 42
(4)
◽
Cited By ~ 1
Author(s):
Bingxia Xue
◽
Xin Ma
◽
Haibo Wang
◽
Jason Gu
◽
Yibin Li
Keyword(s):
Particle Swarm Optimization
◽
Extreme Learning Machine
◽
Particle Swarm
◽
Variable Length
◽
Swarm Optimization
◽
Learning Machine
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