TY - CHAP
T1 - Modelling of engineering systems with small data
T2 - A comparative study
AU - Mohammadzaheri, Morteza
AU - Ghodsi, Mojtaba
AU - Ziaiefar, Hamidreza
AU - Bahadur, Issam
AU - Zarog, Musaab
AU - Emadi, Mohammadreza
AU - Soltani, Payam
AU - Amouzadeh, Amirhosein
N1 - Publisher Copyright:
© 2023, IGI Global. All rights reserved.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - This chapter 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 samples, one with sparse and one with dense data. The models of both cases are shown to be highly nonlinear. In the case with available dense data, multi-layer perceptron (MLP) evidently outperforms other AI models and challenges the claims in the literature about superiority of fully connected cascade (FCC). However, the results of the problem with sparse data shows superiority of FCC, closely followed by MLP and neuro-fuzzy network.
AB - This chapter 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 samples, one with sparse and one with dense data. The models of both cases are shown to be highly nonlinear. In the case with available dense data, multi-layer perceptron (MLP) evidently outperforms other AI models and challenges the claims in the literature about superiority of fully connected cascade (FCC). However, the results of the problem with sparse data shows superiority of FCC, closely followed by MLP and neuro-fuzzy network.
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UR - https://www.mendeley.com/catalogue/fc29d7b2-6c98-3b18-81de-84be8908cbe8/
U2 - 10.4018/978-1-6684-7684-0.ch006
DO - 10.4018/978-1-6684-7684-0.ch006
M3 - Chapter
AN - SCOPUS:85169521795
SN - 1668476843
SN - 9781668476840
T3 - Perspectives and Considerations on the Evolution of Smart Systems
SP - 120
EP - 136
BT - Perspectives and Considerations on the Evolution of Smart Systems
PB - IGI Global
ER -