Abstract
A neural network approach for solving the time tabling problem is presented.
A Boltzmann machine neural network based system is developed
for finding optimal faculty schedule. The system first formulate the problem of time tabling
in a graph form and the optimal scheduling problem is
considered as a graph coloring problem. Several educational systems
schedules are considered.