Nondestructive and rapid grading of tobacco leaves by use of a hand-held near-infrared spectrometer, based on a particle swarm optimization-extreme learning machine algorithm

Near Infrared ◽

Particle Swarm ◽

Swarm Optimization ◽

Tobacco Leaves ◽

Infrared Spectrometer ◽

Learning Machine ◽

Near Infrared Spectrometer

Characterization of Deep Green Infection in Tobacco Leaves Using a Hand-Held Digital Light Projection Based Near-Infrared Spectrometer and an Extreme Learning Machine Algorithm

Analytical Letters ◽

10.1080/00032719.2020.1738452 ◽

2020 ◽

Vol 53 (14) ◽

pp. 2266-2277

Author(s):

Zhang Jianqiang ◽

Liu Yan ◽

He Yufeng ◽

Hu Gangyi ◽

Bai Nannan

Keyword(s):

Near Infrared ◽

Tobacco Leaves ◽

Infrared Spectrometer ◽

Learning Machine ◽

Near Infrared Spectrometer ◽

Deep Green

Application of support vector machine and particle swarm optimization in micro near infrared spectrometer

10.1117/12.2243014 ◽

2016 ◽

Author(s):

Yuhong Xiong ◽

Yunxiang Liu ◽

Minglei Shu

Keyword(s):

Support Vector Machine ◽

Near Infrared ◽

Particle Swarm ◽

Support Vector ◽

Swarm Optimization ◽

Infrared Spectrometer ◽

Near Infrared Spectrometer

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) ◽

A delay prediction model for high-speed railway: an extreme learning machine tuned via particle swarm optimization

10.1109/itsc45102.2020.9294457 ◽

2020 ◽

Author(s):

Yanqiu Li ◽

Xinyue Xu ◽

Jianmin Li ◽

Rui Shi

Keyword(s):

Prediction Model ◽

High Speed ◽

Particle Swarm ◽

Swarm Optimization ◽

High Speed Railway ◽

Learning Machine ◽

Delay Prediction

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):

Mother Liquor ◽

Particle Swarm ◽

Cane Sugar ◽

Soft Sensor ◽

Swarm Optimization ◽

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):

B Cell ◽

Cell Epitope ◽

Particle Swarm ◽

Epitope Prediction ◽

Swarm Optimization ◽

B Cell Epitope ◽

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 ◽

Swarm Optimization ◽

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2014 Volume 2 ◽

Modelling and Prediction of Surface Roughness and Power Consumption Using Parallel Extreme Learning Machine Based Particle Swarm Optimization

10.1007/978-3-319-14066-7_31 ◽

2015 ◽

pp. 321-329 ◽

Cited By ~ 4

Author(s):

Nooraziah Ahmad ◽

Tiagrajah V. Janahiraman

Keyword(s):

Surface Roughness ◽

Power Consumption ◽

Particle Swarm ◽

Swarm Optimization ◽

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) ◽

pp. 2496-2507

Author(s):

Ming Zhu ◽

◽

Kai Wu ◽

Yuanzhen Zhou ◽

Zeyu Wang ◽

...

Keyword(s):

Moisture Content ◽

Particle Swarm ◽

Drying Process ◽

Swarm Optimization ◽

Learning Machine ◽

Cut Tobacco

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 ◽

Prediction Method ◽

Aircraft Carrier ◽

Swarm Optimization ◽

Kernel Extreme Learning Machine ◽

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 ◽

Swarm Optimization ◽

Multiobjective Particle Swarm Optimization ◽