Abnormality determination computer and abnormality determination method

Abstract

In anomaly determination using an autoencoder, the present invention enables highly accurate anomaly determination with respect to an unknown anomaly image, even in the case of learning using only a non-defective image. In a learning step of learning a parameter of the autoencoder using a non-defective learning image /{f_i/} captured of a non-defective test target, an anomaly determination accuracy rate Rc of the non-defective learning image /{f_i/} is used as an evaluation value, and a dimension compression rate Rd of a code layer of the autoencoder is maximized or an input signal amount to the code layer or an output signal amount from the code layer is decreased, such that the anomaly determination accuracy rate Rc is maximized or becomes at least a predetermined threshold th.