The artificial neural network method was used to anticipate the terminal temperature of the heat pipe network, and the diagnosis can accord to the anticipation result.

Suwon in atmospheric pressure of water (or water) through the pipe network under pressure to the water pipes into the inside.

This thesis makes every effort to find a feasible method to solve the problem of the heating pipe network while the overall arrangement optimizing and the parameter optimizing.