  All kinds of simulations of the intergalactic medium, such as hydrodynamic
simulation, N-body simulation, numerical and semi-numerical simulation, etc.,
have been used to realize the history of this medium. One of these simulations
is 21SSD, which is specifically focused on the epoch of reionization. This
simulation deepens our understanding of the physics behind the intergalactic
medium by considering the free parameters related to the Wouthuysen-Field
coupling fluctuations and X-ray and Lyman line transfers in the intergalactic
medium, and by presenting the plots of the power spectrum, brightness
temperature, etc. in different redshifts. However, due to many physical
phenomena that play significant roles in this epoch, simulations of the
intergalactic medium are usually extremely complex, time-consuming, and require
very powerful hardware. In this work, by using the Support Vector Regression
algorithm and based on the 21SSD simulation datasets, we have tried to make the
machine fully understand the brightness temperature changes in terms of
redshift for different astrophysical free parameters values. At first, we
trained the machine with the results of the 21SSD simulation. Then, the machine
was able to predict the brightness temperature in terms of redshift with very
high accuracy for other interval coefficients. Although we have used this
algorithm to estimate the brightness temperature, it seems that this algorithm
can be easily used for other parts of cosmology and astrophysics. With its
help, it is possible to save time and obtain results with extraordinary
accuracy similar to complex simulations, even with normal hardware.
