To highly precisely correct a machining error caused by the thermal deformation of a machine tool by using a neural network and using input data different from those used in a conventional method.

In the method of correcting the machining error caused by the thermal deformation of the machine tool by using the neural network 1 estimating correction values δx, δyand δzwith temperature data t0, t1, ... of machine parts at the time of machining as input values, the time of delay for correcting the calculation error of the quantity of correction based on the room temperature and the hour-room temperature data, which are obtained by measuring the room temperature at each hour on a plurality of recent days are registered, and the room temperature T0at the time of machining Tdis found from the hour-room temperature data to make input data on an input layer. Further, several patterns a, b, c, ... of variation in time from the actuation of the machine are registered, and the variation in time δfcomputed from the selected pattern and the elapsed time Tsat the time of machining is made input data on the input layer.

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