Support apparatus of injection-molding machine

An apparatus of an injection-molding machine, comprising:

• a neural network that received test molding data corresponding to a plurality of molding conditions used to obtain a non-defective molded article and corresponding to a quality value obtained by measuring the non-defective molded article, and that determines a quality prediction function based on the received test molding data;
• a computer that receives the quality prediction function determined by the neural network and calculates a predicted value of the quality value using the quality prediction function;
• an input apparatus that inputs into the neural network fixed values for the molding conditions except for a selected at least one of the molding conditions, and that inputs a target value of the quality value;
• a graph generator that generated a graphical relationship between the selected at least one molding condition and the predicted value;
• a graph correction unit into which the input apparatus inputs the target value and that corrects the graphical relationship generated by the graph generator on the basis of the target value;
• and
• a display unit for selectively displaying the graphical relationship generated by the graph generator and the graphical relationship corrected by the graph correction unit.

An apparatus of an injection-molding machine, comprising:

• network means for receiving test molding data corresponding to a plurality of molding conditions used to obtain a non-defective molded article and corresponding to a quality value obtained by measuring the non-defective molded article, and for determining a quality prediction function based on the received test molding data;
• computing means for receiving the quality prediction function determined by the network means and for calculating a predicted value of the quality value using the quality prediction function;
• input means for inputting into the network means fixed values for the molding condition except for a selected at least one of the molding conditions, and for inputting a target value of the quality value;
• graph generating means for generating a graphical relationship between the selected at least one molding condition and the predicted value;
• graph correcting means into which the input means inputs the target value for correcting the graphical relationship generated by the graph generator on the basis of the target value;
• and
• display means for selectively displaying the graphical relationship generated by the graph generating means and the graphical relationship corrected by the graph correcting means.