Hybrid GPR-DNN Enhanced NSGA-II
收藏Mendeley Data2026-04-18 收录
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https://data.mendeley.com/datasets/277bcf335f
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资源简介：
It constructs a deep learning optimization framework based on Gaussian Process Regression (GPR)-enhanced data augmentation. This approach leverages the Bayesian inference capabilities of GPR to interpolate between sparse samples, thereby enabling the neural network to capture complex physical features that conventional methods might miss.
创建时间：
2026-01-19
