Generation of steam tables using artificial neural networks
The industrial formulations for the thermodynamic properties of water/steam, which are approximations of the scientific one, are intended to be used in applications where computational speed is of importance, such as in power plant modelling and control. The traditional methods for implementing these tables in software imply either the use of polynomial algorithms, which demand long iteration time
