  In this paper we propose new algorithm to reduce autocorrelation in Markov
chain Monte-Carlo algorithms for euclidean field theories on the lattice. Our
proposing algorithm is the Hybrid Monte-Carlo algorithm (HMC) with restricted
Boltzmann machine. We examine the validity of the algorithm by employing the
phi-fourth theory in three dimension. We observe reduction of the
autocorrelation both in symmetric and broken phase as well. Our proposing
algorithm provides consistent central values of expectation values of the
action density and one-point Green's function with ones from the original HMC
in both the symmetric phase and broken phase within the statistical error. On
the other hand, two-point Green's functions have slight difference between one
calculated by the HMC and one by our proposing algorithm in the symmetric
phase. Furthermore, near the criticality, the distribution of the one-point
Green's function differs from the one from HMC. We discuss the origin of
discrepancies and its improvement.
