Search Results - predictive does difference ((optimization algorithms) OR (optimization algorithm))
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Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
Published 2015“…This includes the use of an artificial neural network (ANN) based predictive control strategy and differential evolution (DE) optimization algorithm to determines the optimal control signal, uk (liquid droplet size, dD) by minimizing the cost function such that the output is set below the allowable PM concentration. …”
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Proceeding Paper -
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…However, not all accepted metaheuristic algorithms are compatible with enhancing the ANN for streamflow forecasting, demanding a thorough analysis due to performance differences across cases. …”
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Thesis -
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LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…We develop an active-set based block coordinate descent algorithm (BCD) to optimize exactly the group LASSO. …”
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UMK Etheses -
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Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network
Published 2022“…Participants (N = 283) watched immersive 360° videos while rating situational appropriateness and food wanting for two different dishes in various ambient conditions as determined by DOE's Central Composite Design (CCD). …”
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Article -
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A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal
Published 2019“…The main contribution of this study is a classification model that can predict new classes and incrementally over time improve the accuracy of different food classes. …”
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Thesis -
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Development of robust procedures for partial least square regression with application to near infrared spectral data
Published 2021“…Hence, a Robust Reliable Weighted Average (RRWA-PLS) which does not require the selection of an optimal number of PLS is developed by employing the weighted average strategy from multiple PLSR models generated by different complexity of the PLS components. …”
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Thesis -
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Computational modeling of running biomechanics in amateur runners
Published 2024“…Thus, in this case, the computational time does become the key factor in evaluating them, where Inverse Kinematics (IK) was the best performed in simulating the knee and ankle joint moments in running motion under different types of hardness shoe cushioning, then followed by RRA and MocoTrack, which had the longest computational time respectively. …”
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Final Year Project / Dissertation / Thesis -
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Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption
Published 2013“…RS model using quadratic polynomial function is given as equation (1) below. The optimal design is obtained by using the constrained nonlinear multivariable optimization algorithm provided by MATLAB. …”
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Conference or Workshop Item -
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