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Bald eagle search algorithm: a comprehensive review with its variants and applications
MA El-Shorbagy, A Bouaouda, HA Nabwey… - Systems Science & …, 2024 - Taylor & Francis
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …
algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its …
Novel shape control system of hot-rolled strip based on machine learning fused mechanism model
LM Meng, JG Ding, X Li, G Cao, Y Li… - Expert Systems with …, 2024 - Elsevier
Accurate prediction of strip shape and reasonable allocation of actuators in the finishing mill
group are essential to improving the precision of shape control. The poor prediction of the …
group are essential to improving the precision of shape control. The poor prediction of the …
Variable speed rolling force prediction with theoretical and data-driven models
L Cao, X Li, X Li, Z Dong, D Zhang - International Journal of Mechanical …, 2024 - Elsevier
The variations in thickness at the head and tail significantly impact the product quality in
tandem cold rolling. Improving rolling force calculation accuracy under speed-up and speed …
tandem cold rolling. Improving rolling force calculation accuracy under speed-up and speed …
Stacking ensemble learning fused with whale optimisation algorithm based method for crown prediction of hot-rolled strip
LM Meng, JG Ding, H Du, ZS Dong… - Ironmaking & …, 2024 - journals.sagepub.com
Precision of strip shape is one of the important indexes to measure the quality of strip steel in
hot rolling. Accurate prediction of strip shape can realise the timely adjustment of the …
hot rolling. Accurate prediction of strip shape can realise the timely adjustment of the …
Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning
X Wang, X Li, H Yuan, N Zhou, H Wang… - Materials Today …, 2024 - Elsevier
Establishing a low-cost, high-precision predictive model for mechanical properties is crucial
for enhancing the properties of steel. Due to the complexity of the steel production process …
for enhancing the properties of steel. Due to the complexity of the steel production process …
A looper-thickness coordinated control strategy based on ILQ theory and GA-BP neural network
H Yuan, X Li, X Wang, Y Ji - The International Journal of Advanced …, 2023 - Springer
With the focus on the 1580-mm hot rolling production line of a factory, this research aims at
improving the stability of the hot rolling looper-thickness control system and the quality of hot …
improving the stability of the hot rolling looper-thickness control system and the quality of hot …
Strip deviation analysis and prediction based on time series methods in hot rolling process
H Gao, X Li, S **, Y Qin, J Cao, F Luan… - Journal of Manufacturing …, 2024 - Elsevier
Strip deviation presents a significant challenge in hot rolling processes, affecting both
product quality and manufacturing efficiency. Currently, most of the strip deviation correction …
product quality and manufacturing efficiency. Currently, most of the strip deviation correction …
Rolling theory-guided prediction of hot-rolled plate width based on parameter transfer strategy
Z Dong, X Li, C Cui, J Ding, D Zhang - ISA transactions, 2024 - Elsevier
Abstract Machine learning performs well in many problems. However, the tendency to
generate predictions that violate theoretical knowledge makes it difficult to apply to practical …
generate predictions that violate theoretical knowledge makes it difficult to apply to practical …
Rolling force prediction of hot-rolled transverse thickness-varying plates based on stochastic configuration network
Z Dong, X Li, D Zhang - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
Rolling force determines the quality and production stability of hot-rolled products, so it is
important to be predicted accurately. Nowadays, rolling force prediction is mostly focused on …
important to be predicted accurately. Nowadays, rolling force prediction is mostly focused on …
[KNJIGA][B] Tamamen Rastgele Eksik (MCAR) Verilerde Veri Madenciliği ve Sınıflandırma Algoritmaları
S DİLER, Y DEMİR - 2025 - books.google.com
Bu kitap, veri madenciliği alanında sınıflandırma algoritmalarının, veri setinde karşılaşılan
eksikliklerin veri kalitesini nasıl etkilediğini ve bu eksikliklerin sınıflandırma performansına …
eksikliklerin veri kalitesini nasıl etkilediğini ve bu eksikliklerin sınıflandırma performansına …