Rolling force prediction during FGC process of tandem cold rolling based on IQGA-WNN ensemble learning

Neural Network Structure Optimization by Simulated Annealing

(2022) Chun Lin Kuo et al.   Entropy

Supplementary-architecture weight-optimization neural networks

(2022) Jared O’Reilly et al.   NEURAL COMPUTING & APPLICATIONS

Research on Thickness Defect Control of Strip Head Based on GA-BP Rolling Force Preset Model

(2022) Luzhen Chen et al.   Metals

Rolling force prediction in cold rolling process based on combined method of T-S fuzzy neural network and analytical model

(2022) Jingdong Li et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Cardiovascular Disease Detection using Ensemble Learning

(2022) Abdullah Alqahtani et al.   Computational Intelligence and Neuroscience

Ensemble deep learning: A review

(2022) M.A. Ganaie et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Evolutionary bagging for ensemble learning

(2022) Giang Ngo et al.   NEUROCOMPUTING

Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra

(2021) J. Renwick Beattie et al.   APPLIED SPECTROSCOPY

Cold rolling force model of nuclear power zirconium alloy based on Particle Swarm Optimization

(2021) Jianguo Cao et al.   The International Journal of Advanced Manufacturing Technology

An improved hybrid quantum optimization algorithm for solving nonlinear equations

(2021) Yumin Dong et al.   Quantum Information Processing

Gradient-Sensitive Optimization for Convolutional Neural Networks

(2021) Zhipeng Liu et al.   Computational Intelligence and Neuroscience

Effects of Rolling Force on Strip Shape during Tandem Cold Rolling Using a Novel Multistand Finite Element Model

(2021) Lianjie Li et al.   STEEL RESEARCH INTERNATIONAL

Modeling of Rolling Force for Thick Plate of Multicomponent Alloys and Its Application on Thickness Prediction

(2021) Shun Hu Zhang et al.   Frontiers in Materials

Motor Load Balancing with Roll Force Prediction for a Cold-Rolling Setup with Neural Networks

(2021) Sangho Lee et al.   Mathematics

Optimization solution of vertical rolling force using unified yield criterion

(2021) Yufeng Zhang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Modelling of Deformation Resistance with Big Data and Its Application in the Prediction of Rolling Force of Thick Plate

(2021) Shun Hu Zhang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis

(2021) Honghao Wang et al.   Materials

Multi-Objective Optimization of Intermediate Roll Profile for a 6-High Cold Rolling Mill

(2020) Xin Jin et al.   Metals

Differential Evolution for Neural Networks Optimization

(2020) Marco Baioletti et al.   Mathematics

Quantum Neural Network with Improved Quantum Learning Algorithm

(2020) Bu-Qing Chen et al.   INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS

A novel analytical model based on arc tangent velocity field for prediction of rolling force in strip rolling

(2020) Guanghui You et al.   MECCANICA

Ensemble Learning for Multidimensional Poverty Classification

(2020) Azuraliza Abu Bakar et al.   Sains Malaysiana

Dynamic rolling model based on uniform deformation

(2020) Yanbo Yang et al.   Journal of Manufacturing Processes

Comprehensive evaluation of robotic global performance based on modified principal component analysis

(2020) Liming Li et al.   International Journal of Advanced Robotic Systems

Research on improved wavelet convolutional wavelet neural networks

(2020) Jing-Wei Liu et al.   APPLIED INTELLIGENCE

A wavelet neural network approach to predict daily river discharge using meteorological data

(2019) Ömer Gürsoy et al.   MEASUREMENT & CONTROL

Rolling Force Prediction of Hot Rolling Based on GA-MELM

(2019) Jingyi Liu et al.   COMPLEXITY

A dynamic ensemble learning algorithm for neural networks

(2019) Kazi Md. Rokibul Alam et al.   NEURAL COMPUTING & APPLICATIONS

An ensemble learning framework for convolutional neural network based on multiple classifiers

(2019) Yanyan Guo et al.   SOFT COMPUTING

A New Data-driven Roll Force and Roll Torque Model Based on FEM and Hybrid PSO-ELM for Hot Strip Rolling

(2019) Zhenhua Wang et al.   ISIJ INTERNATIONAL

Dynamic principal component analysis with missing values

(2019) Junhyeon Kwon et al.   JOURNAL OF APPLIED STATISTICS

Experimental Study of Roll Flattening in Cold Rolling Process

(2018) Ling Li et al.   ISIJ INTERNATIONAL

Quantum Genetic Algorithm Based on Qutrits and Its Application

(2018) Valerii Tkachuk   MATHEMATICAL PROBLEMS IN ENGINEERING

Analytical Dependences for Determining Specific Pressures Along the Length of the Deformation Zone in Tube Cold Rolling Mills

(2018) É. Ya. Klassen et al.   METALLURGIST

An Online Rolling Model for Plate Mill Using Parallel Computation

(2017) Takayuki Otsuka et al.   ISIJ INTERNATIONAL

Simulation of Cold-Rolling Process in Dynamic Conditions

(2017) A. V. Kozhevnikov et al.   METALLURGIST

A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting

(2017) Muhammad Shoaib et al.   WATER RESOURCES MANAGEMENT

Friction Estimation and Roll Force Prediction during Hot Strip Rolling

(2016) Wei-gang LI et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

Mathematical model for cold rolling based on energy method

(2016) Y. M. Liu et al.   MECCANICA

Momentum-based wavelet and double wavelet neural networks for power system applications

(2016) Subramaniam Nachimuthu Deepa et al.   NEURAL COMPUTING & APPLICATIONS

Principal component analysis for histogram-valued data

(2016) J. Le-Rademacher et al.   Advances in Data Analysis and Classification

Bagging based ensemble transfer learning

(2015) Xiaobo Liu et al.   Journal of Ambient Intelligence and Humanized Computing

A quantum genetic algorithm with quantum crossover and mutation operations

(2013) Akira SaiToh et al.   Quantum Information Processing

Adaptive impedance matching using quantum genetic algorithm

(2013) Yang-hong Tan et al.   Journal of Central South University

PREDICTION OF ROLLING FORCE USING AN ADAPTIVE NEURAL NETWORK MODEL DURING COLD ROLLING OF THIN STRIP

(2009) H.B. XIE et al.   INTERNATIONAL JOURNAL OF MODERN PHYSICS B

Analysis of rolling force model in cold rolling mill

(2009) Y. Li et al.   REVUE DE METALLURGIE-CAHIERS D INFORMATIONS TECHNIQUES