Reconstructing Functions and Estimating Parameters with Artificial Neural Network: a test with Hubble parameter and SNe Ia

8 Oct 2019Guo-Jian WangXiao-Jiao MaSi-Yao LiJun-Qing Xia

In this work, we propose a new non-parametric approach for reconstructing a function from observational data using Artificial Neural Network (ANN), which has no assumptions to the data and is a completely data-driven approach. We test the ANN method by reconstructing functions of the Hubble parameter measurements $H(z)$ and the distance redshift relation $D_L(z)$ of type Ia supernova... (read more)

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