hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost

2022 ◽  
Vol 73 ◽  
pp. 103456
Author(s):  
Polipireddy Srinivas ◽  
Rahul Katarya
Keyword(s):  
Cardiovascular Disease ◽  
Parameter Optimization ◽  
Optimization Framework

scholarly journals Improved Land Evapotranspiration Simulation of the Community Land Model Using a Surrogate-Based Automatic Parameter Optimization Method

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 943
Author(s):  
Chong Zhang ◽  
Zhenhua Di ◽  
Qingyun Duan ◽  
Zhenghui Xie ◽  
Wei Gong
Keyword(s):  
Sensitivity Analysis ◽  
Parameter Optimization ◽  
Land Surface ◽  
High Efficiency ◽  
Optimization Method ◽  
The Tibetan Plateau ◽  
Optimal Parameters ◽  
Community Land Model ◽  
Optimization Framework ◽  
Sensitivity Analysis Method

Land surface evapotranspiration (ET) is important in land-atmosphere interactions of water and energy cycles. However, regional ET simulation has a great uncertainty. In this study, a highly-efficient parameter optimization framework was applied to improve ET simulations of the Community Land Model version 4.0 (CLM4) in China. The CLM4 is a model at land scale, and therefore, the monthly ET observation was used to evaluate the simulation results. The optimization framework consisted of a parameter sensitivity analysis (also called parameter screening) by the multivariate adaptive regression spline (MARS) method and sensitivity parameter optimization by the adaptive surrogate modeling-based optimization (ASMO) method. The results show that seven sensitive parameters were screened from 38 adjustable parameters in CLM4 using the MARS sensitivity analysis method. Then, using only 133 model runs, the optimal values of the seven parameters were found by the ASMO method, demonstrating the high efficiency of the method. For the optimal parameters, the ET simulations of CLM4 were improved by 7.27%. The most significant improvement occurred in the Tibetan Plateau region. Additional ET simulations from the validation years were also improved by 5.34%, demonstrating the robustness of the optimal parameters. Overall, the ASMO method was found to be efficient for conducting parameter optimization for CLM4, and the optimal parameters effectively improved ET simulation of CLM4 in China.

A Simulation-Based Optimization Framework for Parameter Optimization of Supply-Chain Networks

2006 ◽  
Vol 45 (9) ◽  
pp. 3133-3148 ◽  
Author(s):  
Fernando D. Mele ◽  
Gonzalo Guillén ◽  
Antonio Espuña ◽  
Luis Puigjaner
Keyword(s):  
Supply Chain ◽  
Parameter Optimization ◽  
Supply Chain Networks ◽  
Optimization Framework ◽  
Simulation Based ◽  
Simulation Based Optimization

Parameter optimization framework on wave gradients of Wave‐CAIPI imaging

2019 ◽  
Vol 83 (5) ◽  
pp. 1659-1672 ◽  
Author(s):  
Haifeng Wang ◽  
Zhilang Qiu ◽  
Shi Su ◽  
Sen Jia ◽  
Ye Li ◽  
...  
Keyword(s):  
Parameter Optimization ◽  
Optimization Framework

Optimal Design of the Grinding Parameter on Zr-4 Cladding Tubes Abrasive Belt Grinding Based on BP and GA

2012 ◽  
Vol 565 ◽  
pp. 82-87
Author(s):  
Yu Yang ◽  
Yun Huang ◽  
Ming Xiang Zhang ◽  
He Ping Wei
Keyword(s):  
Parameter Optimization ◽  
Optimization Design ◽  
Design Method ◽  
Specific Situation ◽  
Belt Grinding ◽  
Optimization Framework ◽  
Abrasive Belt ◽  
Grinding Conditions ◽  
Clad Tube ◽  
Parameter Optimization Design

This paper used BP(Neural Networks) to establish parameter optimization design method for Zr-4 clad tube belt grinding. The BP can get strong nonlinear mapping capability through training, obtain better grinding parameter model; GA(Genetic Algorithm) is not dependent on the specific situation of the problem and it has strong robustness, so it can provides optimization framework for Zr-4 clad tube belt grinding parameter optimization design of nonlinear optimization. This paper optimized the single objective and multi-objective of the abrasive belt life n and grinding roughness Rz, obtained satisfied optimization results and the corresponding grinding conditions.

Cardiovascular Disease: Effects Upon Cognition and Communication

ASHA Leader ◽  
2006 ◽  
Vol 11 (7) ◽  
pp. 10-23 ◽  
Author(s):  
Laura Murray
Keyword(s):  
Cardiovascular Disease
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