PROBLEM TO BE SOLVED: To provide an air conditioner for performing air-conditioning control by a neural network capable of reducing a learning error and contracting a learning time simultaneously in initializing the neural network. SOLUTION: A region, where a user is most likely to recognize a change of air-conditioning control quantity such as a conditioned air temperature, airflow quantity, and supply opening mode, is set, and a weighting factor W of teacher data in the region is set to be large. Thereby, the learning error in the region where the user is most likely to recognize the change of the air- conditioning control quantity is preferentially decreased as compared with the leaning error in other region so that reduction of the learning error and contraction of the learning time can be simultaneously achieved.
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