Deep-freezer with neural network

Deep-freezing apparatus for foodstuffs comprising:

• a deep-freezing compartment,
• sensor means adapted to detect the temperature inside the foodstuffs stored in said deep-freezing compartment,
• processing means for the signals generated by said sensor means,
• display means for displaying the information worked out and output by said processing means,
• characterized in that it further comprises:
• a neural network adapted to receive the signals issued by said processing means for the signals from said temperature sensor means,
• and by a plurality of information pieces on the duration of successive time intervals, each one of which measures the time elapsing for going from a respective first temperature down to a respective second temperature, and is adapted to provide information relating to an estimated time (tr) that is still needed for the temperature inside the foodstuff being deep-frozen to reach down to a pre-set, still lower temperature value (tc), at which there corresponds the state transition phase of the same foodstuff,
• and in that said processing means are adapted to receive said time information (tr) from said neural network and provide in response thereto an information representative to the predicted time (tn) needed for a pre-determined temperature lying below said state transition temperature (Tc), and measurable by said sensor means, to be eventually reached.