Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate-Reference-Cited by-同舟云学术

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Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

Published:2021-01 Issue: Volume:97 Page:104015
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhou Jian,Qiu Yingui,Zhu Shuangli,Armaghani Danial Jahed,Li Chuanqi,Nguyen Hoang,Yagiz Saffet

Funder

National Science Foundation of China

Innovation-Driven Project of Central South University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference151 articles.

1. Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism;Abderazek;Knowl.-Based Syst.,2020

2. Bayesian prediction of TBM penetration rate in rock mass;Adoko;Eng. Geol.,2017

3. Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances;Altan;Mech. Syst. Signal Process.,2020

4. Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques;Altan;Chaos Solitons Fractals,2019

5. Modeling tunnel boring machine performance by neuro-fuzzy methods;Alvarez Grima;Tunn. Undergr. Space Technol.,2000

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