Thermodynamics of Anisotropic Universe with Hubble Parameterization and Observational Constraints

Abstract

In this paper, we investigate the thermodynamic properties of anisotropic universe with Hubble parameterization and estimates the model parameters by bounding our model with 57 H(z) observational data and ColFI methods. We estimate the parameters using the Artificial Neural Networks (ANN), Mixture Density Network (MDN) and Mixture Neural Network (MNN). It has been observed that the entropy of the universe is increasing function of time while the entropy density decreases with time. We also found that the cosmological constant Λ(t) is decreasing function of time, which is supported by results from SNe Ia observations and this cosmological constant Λ (t) affects the entropy. Some physical and geometric behaviour of the universe also are discussed.