A generative adversarial network structure for learning with small numerical data sets

In recent years, generative adversarial networks (GANs) have been proposed to generate simulated images, and some works of literature have applied GAN to the analysis of numerical data in many fields, such as the prediction of building energy consumption and the prediction and identification of live...

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Bibliographic Details
Main Authors: Li, Der-Chiang, Chen, Szu-Chou, Lin, Yao-Sin, Huang, Kuan-Cheng
Other Authors: Centre for Chinese Language and Culture
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/153939
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Institution: Nanyang Technological University
Language: English