In this study, a recursive surrogate model was developed based on a generalized regression neural network and variable-fidelity surrogate method. The ...
In this study, a recursive surrogate model was developed based on a generalized regression neural network and variable-fidelity surrogate method. The proposed ...
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Jun 5, 2023 · Abstract. The use of surrogate models based on Convolutional Neural Networks (CNN) is increasing significantly in microstructure analysis and ...
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Recursive surrogate model based on generalized regression neural network. ... Model-Based Approach. Symmetry 15(5): 1047 (2023). [+][–]. Coauthor network.
An adaptive ensemble of surrogate models based on heuristic model screening ... Recursive surrogate model based on generalized regression neural network. S ...
Oct 20, 2023 · A neural network surrogate model is a machine learning model ... Recursive surrogate model based on generalized regression neural network.
We use generalized regression neural network in this paper to construct meta-models and to approximate the fitness function in particle swarm optimization. To ...
Sequential model-based optimization for general algorithm configuration. In International conference on learning and intelligent optimization, pages 507–523.
宋学官,songxueguan,大连理工大学主页平台管理系统, Recursive surrogate model based on generalized regression neural network多学科优化，流固耦合，代理模型，CAE ...
Jun 27, 2024 · Citation2023). In recent research, Zhang, Li, et al. (Citation2023) proposed a recursive surrogate model based on the Generalised Regression ...