A Self-adaptive differential evolutionary extreme learning machine (SaDE-ELM): a novel approach to blast-induced ground vibration prediction

Clement Kweku Arthur; Victor Amoako Temeng; Yao Yevenyo Ziggah

doi:10.1007/s42452-020-03611-3

A Self-adaptive differential evolutionary extreme learning machine (SaDE-ELM): a novel approach to blast-induced ground vibration prediction

SN Applied Sciences ◽

10.1007/s42452-020-03611-3 ◽

2020 ◽

Vol 2 (11) ◽

Author(s):

Clement Kweku Arthur ◽

Victor Amoako Temeng ◽

Yao Yevenyo Ziggah

Keyword(s):

Extreme Learning Machine ◽

Ground Vibration ◽

Vibration Prediction ◽

Novel Approach ◽

Learning Machine ◽

Self Adaptive

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Evaluation of side orifices shape factor using the novel approach self-adaptive extreme learning machine

Modeling Earth Systems and Environment ◽

10.1007/s40808-019-00579-x ◽

2019 ◽

Vol 5 (3) ◽

pp. 925-935

Author(s):

Ali Reza Mahmodian ◽

Ahmad Rajabi ◽

Mohammad Ali Izadbakhsh ◽

Saeid Shabanlou

Keyword(s):

Extreme Learning Machine ◽

Shape Factor ◽

The Novel ◽

Novel Approach ◽

Learning Machine ◽

Self Adaptive

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A Novel approach to predict diabetes mellitus using modified Extreme learning machine

2014 International Conference on Electronics and Communication Systems (ICECS) ◽

10.1109/ecs.2014.6892740 ◽

2014 ◽

Cited By ~ 15

Author(s):

Rojalina Priyadarshini ◽

Nilamadhab Dash ◽

Rachita Mishra

Keyword(s):

Diabetes Mellitus ◽

Extreme Learning Machine ◽

Novel Approach ◽

Learning Machine

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Evaluation of ice-seabed interaction mechanism in sand by using self-adaptive evolutionary extreme learning machine

Ocean Engineering ◽

10.1016/j.oceaneng.2021.109795 ◽

2021 ◽

Vol 239 ◽

pp. 109795

Author(s):

Hamed Azimi ◽

Hodjat Shiri

Keyword(s):

Extreme Learning Machine ◽

Interaction Mechanism ◽

Seabed Interaction ◽

Learning Machine ◽

Self Adaptive

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Ensemble Extreme Learning Machine Based on a New Self-adaptive AdaBoost.RT

Proceedings of ELM-2014 Volume 1 - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-319-14063-6_21 ◽

2015 ◽

pp. 237-244 ◽

Cited By ~ 1

Author(s):

Pengbo Zhang ◽

Zhixin Yang

Keyword(s):

Extreme Learning Machine ◽

Learning Machine ◽

Self Adaptive

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Multi-Level Forecasting Model of Coal Mine Water Inrush based on Self-Adaptive Evolutionary Extreme Learning Machine

Applied Mathematics & Information Sciences Letters ◽

10.12785/amisl/020305 ◽

2014 ◽

Vol 2 (3) ◽

pp. 103-110 ◽

Cited By ~ 5

Author(s):

Zuopeng Zhao ◽

Mengke Hu

Keyword(s):

Extreme Learning Machine ◽

Coal Mine ◽

Mine Water ◽

Water Inrush ◽

Forecasting Model ◽

Coal Mine Water ◽

Multi Level ◽

Learning Machine ◽

Self Adaptive

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Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering

Cognitive Computation ◽

10.1007/s12559-016-9409-5 ◽

2016 ◽

Vol 8 (4) ◽

pp. 720-728 ◽

Cited By ~ 9

Author(s):

Li Xu ◽

Shifei Ding ◽

Xinzheng Xu ◽

Nan Zhang

Keyword(s):

Extreme Learning Machine ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Affinity Propagation ◽

Affinity Propagation Clustering ◽

Learning Machine ◽

Self Adaptive

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Prediction of Groundwater Level Changes Using Hybrid Wavelet Self- Adaptive Extreme Learning Machine Model- Observation Well of Sarab Qanbar, Kermanshah

Journal of Water and Soil Science ◽

10.47176/jwss.23.4.40501 ◽

2020 ◽

Vol 23 (04) ◽

Keyword(s):

Extreme Learning Machine ◽

Groundwater Level ◽

Observation Well ◽

Machine Model ◽

Learning Machine ◽

Groundwater Level Changes ◽

Self Adaptive

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Classification of breast masses in ultrasound images using self-adaptive differential evolution extreme learning machine and rough set feature selection

Journal of Medical Imaging ◽

10.1117/1.jmi.4.2.024507 ◽

2017 ◽

Vol 4 (2) ◽

pp. 024507 ◽

Cited By ~ 3

Author(s):

Kadayanallur Mahadevan Prabusankarlal ◽

Palanisamy Thirumoorthy ◽

Radhakrishnan Manavalan

Keyword(s):

Feature Selection ◽

Differential Evolution ◽

Extreme Learning Machine ◽

Rough Set ◽

Ultrasound Images ◽

Breast Masses ◽

Adaptive Differential Evolution ◽

Learning Machine ◽

Self Adaptive

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Improvement of extreme learning machine using self-adaptive evolutionary algorithm for estimating discharge capacity of sharp-crested weirs located on the end of circular channels

Flow Measurement and Instrumentation ◽

10.1016/j.flowmeasinst.2017.11.003 ◽

2018 ◽

Vol 59 ◽

pp. 63-71 ◽

Cited By ~ 5

Author(s):

Saeid Shabanlou

Keyword(s):

Evolutionary Algorithm ◽

Extreme Learning Machine ◽

Discharge Capacity ◽

Learning Machine ◽

Self Adaptive

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A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy

International Journal of Systems Science ◽

10.1080/00207721.2014.924602 ◽

2014 ◽

Vol 47 (6) ◽

pp. 1342-1357 ◽

Cited By ~ 5

Author(s):

Chao Ma ◽

Jihong Ouyang ◽

Hui-Ling Chen ◽

Jin-Chao Ji

Keyword(s):

Extreme Learning Machine ◽

Artificial Bee Colony ◽

Bee Colony ◽

Kernel Extreme Learning Machine ◽

Learning Machine ◽

Self Adaptive

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