  Starting from more than 11,200 short-period (less than 0.5 days) EW-type
eclipsing binary candidates with the All-Sky Automated Survey for Supernovae
(ASAS-SN) V-band light curves, we use MCMC and neural networks (NNs) to obtain
the mass ratio ($q$), orbital inclination ($incl$), fill-out factor ($f$) and
temperature ratio ($T_s/T_p$). After cross-matching with the Gaia DR3 database,
the final sample contains parameters of 2,399 A-type and 8,712 W-type contact
binaries (CBs). We present the distributions of parameters of these 11,111
short-period CBs. The mass ratio ($q$) and fill-out factor ($f$) are found to
obey log-normal distributions, and the remaining parameters obey normal
distributions. There is a significant period-temperature correlation of these
CBs. Additionally, the temperature ratio (${T_s}$/${T_p}$) tends to increase as
the orbital period decreases for W-type CBs. There is no significant
correlation between them for A-type CBs. The mass ratio and fill-out factor
($q-f$) diagram suggest there is no significant correlation between these two
parameters. A clear correlation exists between the mass ratio and radius ratio.
The radius ratio increases with the mass ratio. Moreover, the deep fill-out CBs
tend to fall on the upper boundary of the $q$$-$${R_s}$/${R_p}$ distribution,
while the shallow fill-out CBs fall on the lower boundary.
