| 摘要 |
<p>PURPOSE:To decide and set the optimum setting value at the initial stage in operating terminal for controlling flatness by executing learning of synapse load factor in neural network at any time while using the optimum setting value in the operating terminal obtd. from the actual rolling data. CONSTITUTION:Inputted data of influenced factor to the flatness of the rolled material 1 of steel kind of the rolled material 1, plate width, inlet thickness, outlet thickness, predicted rolled load, accumulated rolled length after changing work roll, etc., are converted into the suitable form to the inputted data in the neural network 9. Based on this inputted data, the setting value at the initial stage in the operating terminal for controlling the flatness in the rolling mill, is operated and the operated output is converted into the suitable form to setting of the operating terminal for controlling the flatness. Further, the optimum setting value in the operating terminal for controlling the flatness, which the actual flatness value in the rolled material with the rolling mill after starting rolling of the rolling material 1 becomes the aimed flatness is operated and this optimum setting value and the inputted data are used as the teacher data to learn the synapse load factor in the neural network 9.</p> |
