Data-driven Modelling of Engineering Systems with Small Data, a Comparative Study of Artificial Intelligence Techniques

被引：0

作者：

Mohammadzaheri, Morteza ^{[1
]}

Ziaeifar, Hamidreza ^{[1
]}

Bahadur, Issam ^{[1
]}

Zarog, Mussab ^{[1
]}

Emadi, Mohammadreza ^{[2
]}

Ghodsi, Mojtaba ^{[3
]}

机构：

[1] Sultan Qaboos Univ, Mech & Ind Engn Dept, Muscat, Oman

[2] GHSCO Univ Appl Sci & Technol, Engn Dept, Semnan, Iran

[3] Univ Portsmouth, Sch Energy & Elect Engn, Portsmouth, Hants, England

来源：

2019 5TH IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS 2019) | 2019年

关键词：

Artificial Intelligence; Piezoelectric Actuator; Electrical Submersible Pump; Modelling; Artficial Neural Networks; Fuzzy; APPROXIMATION; SELECTION;

D O I：

10.1109/icspis48872.2019.9066058

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper equitably compares five different Artificial Intelligence (AI) models and a linear model to tackle two real-world engineering data-driven modelling problems with small number of experimental data. Analysis of results show that, in both cases, the models are highly nonlinear and Multi-Layer Perceptrons (MLP5) outperform other AI models including neuro-fuzzy networks (or in short fuzzy models), Radial Basis Function Networks (RBFN5) and Fully Connected Cascade (FCC) networks. The latter has been claimed to be superior in the literature for some non-engineering benchmarks.

引用

页数：5

共 50 条

[1] Technomoral Affordances of Artificial Intelligence in Data-Driven Systems
Sharma, Ravi
Ahmad, Norita
Ali, Saqib
Bilal, Adil
Fatima, Samar
Kshetri, Nir
Abu Salem, Fatima
Sibal, Prateek
COMPUTER, 2022, 55 (10) : 76 - 81
[2] Computational Intelligence in Data-Driven Modelling and Its Engineering Applications
Zhang, Qian
Spurgeon, Sarah
Xu, Li
Yu, Dingli
MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
[3] Computational modelling and data-driven techniques for systems analysis
Matwin, Stan
Tesei, Luca
Trasarti, Roberto
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2019, 52 (03) : 473 - 475
[4] Computational modelling and data-driven techniques for systems analysis
Stan Matwin
Luca Tesei
Roberto Trasarti
Journal of Intelligent Information Systems, 2019, 52 : 473 - 475
[5] Computational Intelligence in Data-Driven Modelling and Its Engineering Applications 2020
Zhang, Qian
Chen, Jun
Nguyen, Trung Thanh
MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
[6] Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data
Sagan, Vasit
Maimaitijiang, Maitiniyazi
Paheding, Sidike
Bhadra, Sourav
Gosselin, Nichole
Burnette, Max
Demieville, Jeffrey
Hartling, Sean
LeBauer, David
Newcomb, Maria
Pauli, Duke
Peterson, Kyle T.
Shakoor, Nadia
Stylianou, Abby
Zender, Charles S.
Mockler, Todd C.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
[7] Artificial intelligence and data-driven computational simulation
Li, He
Xu, Yong
Duan, Wenhui
Xiao, Ruijuan
Weng, Hongming
SCIENTIA SINICA-PHYSICA MECHANICA & ASTRONOMICA, 2024, 54 (04)
[8] Artificial Intelligence and Acupuncture: A Data-Driven Synergy
Witt, Claudia M.
Graca, Sandro
Lee, Ye-Seul
JOURNAL OF INTEGRATIVE AND COMPLEMENTARY MEDICINE, 2024, 30 (04): : 316 - 318
[9] Multidimensional Data-Driven Artificial Intelligence Innovation
Yablonsky, Sergey A.
TECHNOLOGY INNOVATION MANAGEMENT REVIEW, 2019, 9 (12): : 16 - 28
[10] Bias in data-driven artificial intelligence systems-An introductory survey
Ntoutsi, Eirini
Fafalios, Pavlos
Gadiraju, Ujwal
Iosifidis, Vasileios
Nejdl, Wolfgang
Vidal, Maria-Esther
Ruggieri, Salvatore
Turini, Franco
Papadopoulos, Symeon
Krasanakis, Emmanouil
Kompatsiaris, Ioannis
Kinder-Kurlanda, Katharina
Wagner, Claudia
Karimi, Fariba
Fernandez, Miriam
Alani, Harith
Berendt, Bettina
Kruegel, Tina
Heinze, Christian
Broelemann, Klaus
Kasneci, Gjergji
Tiropanis, Thanassis
Staab, Steffen
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020, 10 (03)

← 1 2 3 4 5 →