An inverse model for injection molding of optical lens using artificial neural network coupled with genetic algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-014-0999-z
Abstract: This study combined the artificial neural network (ANN) with a genetic algorithm (GA) to establish an inverse model of injection molding for optical lens form accuracy. The Taguchi parameter design was used for screening experiments… read more here.
Keywords: inverse model; injection molding; accuracy; model ... See more keywords
Inverse neural networks modelling of a piezoelectric stage with dominant variable
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-021-03102-5
Abstract: This paper presents an approach for developing a neural network inverse model of a piezoelectric positioning stage, which exhibits rate-dependent, asymmetric hysteresis. Unlike most piezoelectric actuators being investigated, the stage involves sliding motion with a… read more here.
Keywords: neural network; inverse model; dominant variable; stage ... See more keywords
Baseline building energy modeling of cluster inverse model by using daily energy consumption in office buildings
Sign Up to like & getrecommendations! Published in 2017 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2017.01.086
Abstract: Abstract Many retrofit projects are being carried out in existing buildings to reduce energy consumption. However, the energy consumptions before and after retrofit need to be known in order to evaluate such retrofit projects. Even… read more here.
Keywords: inverse model; energy consumption; energy; retrofit ... See more keywords
Skillful Coupled Atmosphere‐Ocean Forecasts on Interannual to Decadal Timescales Using a Linear Inverse Model
Sign Up to like & getrecommendations! Published in 2023 at "Earth and Space Science"
DOI: 10.1029/2022ea002679
Abstract: There are two major challenges to improving interannual to decadal forecasts: (a) consistently initializing the coupled system so that variability is not dominated by initial imbalances, and (b) having a large sample of different initial… read more here.
Keywords: using linear; linear inverse; model; interannual decadal ... See more keywords
Hybrid hysteresis modeling and inverse model compensation of piezoelectric actuators
Sign Up to like & getrecommendations! Published in 2019 at "Smart Materials and Structures"
DOI: 10.1088/1361-665x/ab49d7
Abstract: Piezoelectric actuators have shown great application potential in active vibration suppression and noise reduction. However, the nonlinear hysteresis effect in piezoelectric materials often compromises the control efficiency in practical application. This paper aims at presenting… read more here.
Keywords: inverse model; compensation; hysteresis; piezoelectric actuators ... See more keywords
Partially Coupled Inverse Model Design for Multivariable Disturbance Observer-Based Control Based on Generalized Relative Input Disturbance Gain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202207
Abstract: In this paper, a novel inverse model is designed for multivariable disturbance observer-based (MDOB) control system. A new interaction measure, generalized relative input disturbance gain (GRIDG), is proposed to quantify the disturbance rejection capabilities of… read more here.
Keywords: disturbance; input disturbance; model; relative input ... See more keywords
Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2602561
Abstract: Evolutionary multiobjective optimization in dynamic environments is a challenging task, as it requires the optimization algorithm converging to a time-variant Pareto optimal front. This paper proposes a dynamic multiobjective optimization algorithm which utilizes an inverse… read more here.
Keywords: inverse model; optimization; model set; multiobjective optimization ... See more keywords
A Physics-Guided Reversible Residual Neural Network Model: Applied to Build Forward and Inverse Models for Turntable Servo System
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3200668
Abstract: To satisfy the application requirements of the forward/inverse model for various control algorithms used in servo systems, a physics-guided reversible residual neural network (PGRRNN) model is proposed, which is applied to build forward/inverse model for… read more here.
Keywords: forward inverse; network; physics; reversible residual ... See more keywords
Predictability of Marine Heatwaves off Western Australia using a Linear Inverse Model
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Climate"
DOI: 10.1175/jcli-d-22-0692.1
Abstract: Marine heatwaves (MHWs) off Western Australia (110°E–116°E, 22°S–32°S; hereafter, WA MHWs) can cause devastating ecological impacts, as was evidenced by the 2011 extreme event. Previous studies suggest that La Niña is the major large-scale driver… read more here.
Keywords: mhws; marine heatwaves; linear inverse; model ... See more keywords
Comparison between Inverse Model and Chaos Time Series Inverse Model for Long-Term Prediction
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DOI: 10.3390/su9060982
Abstract: This paper presents an inverse model using chaotic behaviour. The chaos time series inverse model, which uses coupling methods between an inverse model and chaos theory can reconstruct a deterministic and low-dimensional phase space by… read more here.
Keywords: time series; inverse model; chaos time; series inverse ... See more keywords