Parameter optimization for FH model
PARAMETER OPTIMIZATION FOR A PEMFC MODEL WITH PARTICLE SWARM OPTIMIZATION
... for parameter optimization of PEMFC stack model were ...PEMFC model are optimized by means of Particle Swarm Optimization ...for parameter optimization of fuel ...
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OPTIMIZATION OF SPATIAL INPUT PARAMETER IN DISTRIBUTED HYDROLOGICAL MODEL
... hydrological model. Optimization of three different sets of spatial input parameters were tested using SUFI-2 algorithms by firstly focusing on the sets of the groundwater inputs ...input parameter ...
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An automatic and effective parameter optimization method for model tuning
... manages model sim- ulations with the capability for simultaneous ...swarm optimization, differential evolu- tion and simulated ...for Optimization and Terascale Applications (DAKOTA) (El- dred et ...
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Optimization of CCIR Pathloss Model Using Terrain Roughness Parameter
... CCIR model has a RMSE of ...CCIR model and the pathloss predicted by the standard deviation of elevation tuned CCIR model have the same RME of ...roughness parameter-based tuning approach can ...
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Prime factorization algorithm based on parameter optimization of Ising model
... pling, optimization, machine learning, ...QUBO model to be solved by the cell algorithm and the column algorithm ...general model to factor the integer 376289 with 94 logical qubits via a D-Wave ...
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An improved swarm optimization for parameter estimation and biological model selection
... the model outputs with the corresponding experimental ...hybrid optimization method is proposed to estimate these parameters from the noisy and incomplete experimental ...Reaction Optimization, ...
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Optimization of Hata Pathloss Model Using Terrain Roughness Parameter
... pathloss model based on terrain roughness parameter is ...Hata model has a RMSE of ...Hata model and the pathloss predicted by the standard deviation of elevation tuned Hata model have ...
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Parameter Identification of BLDC Motor Model Via Metaheuristic Optimization Techniques
... metaheuristic optimization techniques have become potential candidates to various engineering ...metaheuristic optimization techniques, the adaptive tabu search (ATS) and the intensified current search ...
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Analysis, Model Parameter Extraction and Optimization of Planar Inductors Using MATLAB
... (GA) optimization tools are already implemented in leading general- purpose system analysing software like ...The optimization of the values of these variables is in some cases a complex problem, especially ...
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Infrared Drying Parameter Optimization
... setting parameter did not change that much, the sintering voltage and heat setting both decreased for the single pass three inch model since there is less material being put ...
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Prediction Model of Battery State of Charge and Control Parameter Optimization for Electric Vehicle
... prediction model and the optimization method of the said model to appropriately control the number of parameters in compliance with the SOC as the battery output ...prediction model of battery ...
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Parameter Extraction for Microwave Coupled Resonator Filters Using Rational Model and Optimization
... the parameter extraction of microwave coupled resonator ...rational model of the ...the optimization while improving the speed and robustness of diagnosis process for lossless and lossy filters, ...
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A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization
... The Wilcoxon signed rank test was then applied between each pair of the five FS methods. For simplicity, the results of the Wilcoxon signed rank test for LR is not listed in this paper but the general conclusions ...
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Fast Gait Parameter Estimation for Frontal View Gait Video Data Based on the Model Selection and Parameter Optimization Approach
... As a result, our model is able to estimate the gait param- eters stably at low calculation cost. II. F RONTAL V IEW G AIT D ATA In this section, we describe an overview of frontal view gait data. Many of gait ...
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Random Search for Hyper-Parameter Optimization
... The efficiency curves in Figures 5 and 6 reveal that different data sets give rise to functions Ψ with different shapes. The mnist basic results converge very rapidly toward what appears to be a global maximum. The fact ...
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Optimization the process parameter of FDM 3D ...
... printer model is Geeetech A30 having number of useful features such as automatic leveling, print resume availability and least movement of nozzle in Z direction is ...
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A comparison between gradient descent and stochastic approaches for parameter optimization of a sea ice model
... performing optimization experiments, we also made a survey of the increment, 1m, for the gradient estima- ...control parameter set m, we can apply an infinitesimal increment for local gradient estimation in ...
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Multi objective parameter optimization of common land model using adaptive surrogate modeling
... multi-objective parameter optimization for a LSM (CoLM) at the Heihe river ...of model runs. In previous research, a typical multi-objective optimization needs ∼10 5 –10 6 or even more ...
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Robust Speech Recognition Based on Dereverberation Parameter Optimization Using Acoustic Model Likelihood
... The conventional approach adopts the MMSE criterion in deriving the scale parameters for bands , which is subsequently used to process the reverberant signal prior to acoustic model training. We present two ...
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Parameter optimization methods for calibrating tank model and neural network for rainfall-runoff modelling
... tank model is related issue mainly faced by many researchers is the model calibration since most of these models involve a large number of ...tank model calibration in early days is using manual ...
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