Variational autoencoder-least squares generative adversarial Network (VA-LSGAN): a latent-space parameterization framework linking three-dimensional aquifer heterogeneity characterization and perfluorooctanoic acid (PFOA) inverse modeling (IMAGE)

Shenyang Agricultural University Collaborative Journals

Variational autoencoder-least squares generative adversarial Network (VA-LSGAN): a latent-space parameterization framework linking three-dimensional aquifer heterogeneity characterization and perfluorooctanoic acid (PFOA) inverse modeling

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Variational autoencoder-least squares generative adversarial Network (VA-LSGAN): a latent-space parameterization framework linking three-dimensional aquifer heterogeneity characterization and perfluorooctanoic acid (PFOA) inverse modeling

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Zidong Pan, Zhilin Guo, Dongwei Zhao, Yuguang Zhu, Xiuyu Liang, Maosheng Yin, Hongkai Li, Zhenzhong Zeng, Guotao Ma, Mohaddeseh Mousavi Nezhad, Chunmiao Zheng

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