Prediction of the parameters of the thermoelectric cooling systems based on Peltier elements with neural network

Neural networks are the tools that can be used for the modelling for many systems. Thermoelectric cooling systems (TCS), generated on the basis of Peltier elements, are very widely used in the military industry and computing, which require smooth but precise thermostating of objects and volumes. The prediction of the parameters of the Thermoelectric cooling systems based on Peltier elements are very useful for the preparing the optimal conditions of the automatic control.