Abstract: An anomaly detection apparatus generates pieces of image data using a generator and train the generator and a discriminator that discriminates whether an image data, generated by the generator, is real or fake. The anomaly detection apparatus trains the generator such that the generator, in generating the pieces of image data to maximize the discrimination error of the discriminator, generate at least a piece of specified image data to reduce the discrimination error at a fixed rate with respect to the pieces of image data and trains, based on the pieces of image data and the at least a piece of specified image data, the discriminator to minimize the discrimination error.

Abstract: An anomaly detection apparatus performs training for the generator and the discriminator such that the generator maximizes a discrimination error of the discriminator and the discriminator minimizes the discrimination error The anomaly detection apparatus stores, while the training is being performed, a state of the generator that is half-trained and satisfies a pre-set condition, and retrains the discriminator by using an image generated by the half-trained generator that has the stored state.

Abstract: An anomaly detection apparatus generates pieces of image data using a generator and train the generator and a discriminator that discriminates whether an image data, generated by the generator, is real or fake. The anomaly detection apparatus trains the generator such that the generator, in generating the pieces of image data to maximize the discrimination error of the discriminator, generate at least a piece of specified image data to reduce the discrimination error at a fixed rate with respect to the pieces of image data and trains, based on the pieces of image data and the at least a piece of specified image data, the discriminator to minimize the discrimination error.

Abstract: An anomaly detection apparatus performs training for the generator and the discriminator such that the generator maximizes a discrimination error of the discriminator and the discriminator minimizes the discrimination error The anomaly detection apparatus stores, while the training is being performed, a state of the generator that is half-trained and satisfies a pre-set condition, and retrains the discriminator by using an image generated by the half-trained generator that has the stored state.

Abstract: A chiller apparatus capable of increasing accuracy of temperature control without large-sizing a chiller, to thereby rapidly accommodate to a large variation in temperature of a load and being decreased in size thereof to increase a degree of freedom in selection of conditions under which the apparatus is installed. The chiller apparatus includes a primary circuit including a chiller and a pump for circulating a refrigerant through the primary circuit, a secondary circuit including a pump for circulating, through the secondary circuit, a refrigerant heat-exchanged with the refrigerant of the primary circuit, a buffer tank arranged at the secondary circuit, a load circuit including a pump for circulating a refrigerant through the load circuit to chill a load, and communication flow passages for connecting the secondary circuit and load circuit to each other therethrough. One of the communication flow passages is provided with a valve for controlling a refrigerant flowing through the communication flow passage.