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POOR PHYSICAL CONDITION PREDICTION METHOD, POOR PHYSICAL CONDITION PREDICTION PROGRAM, AND POOR PHYSICAL CONDITION PREDICTION APPARATUS

机译:不良身体状况预测方法,不良身体状况预测程序和不良身体状况预测装置

摘要

PROBLEM TO BE SOLVED: To provide a poor physical condition prediction method capable of suppressing the learning of relationship between poor physical condition and its occurrence factor when occurrence prediction of poor physical condition is wrong.;SOLUTION: A poor physical condition prediction method causes a computer to execute processes, the processes comprises: referencing to a storage unit that stores relationship between a poor physical condition and an occurrence factor of the poor physical condition for each type of poor physical condition, to specify a scheduled occurrence date at which the poor physical condition might occur; when no poor physical condition occurs on the scheduled occurrence date, determining whether or not the occurrence factor has changed since the scheduled occurrence date was specified; and if the occurrence factor has been changed, learning the relationship using a learning degree lower than a learning degree in a case of learning the relationship to be executed when the occurrence factor has not changed.;SELECTED DRAWING: Figure 23;COPYRIGHT: (C)2018,JPO&INPIT
机译:解决的问题:提供一种不良身体状况预测方法,该方法能够在不良身体状况发生预测错误时抑制对不良身体状况及其发生因素之间关系的学习。为了执行处理,这些处理包括:参照存储单元,该存储单元针对每种类型的不良身体状况存储不良身体状况和该不良身体状况的发生因子之间的关系,以指定该不良身体状况的预定发生日期。可能发生;当在预定的发生日期没有身体不适的情况下,确定自指定了发生的发生日期以来发生因素是否已经改变;并且如果发生因素已经改变,则在学习发生因素没有改变时要学习要执行的关系的情况下,使用比学习程度低的学习程度来学习该关系。SELECTED DRAWING:图23; COPYRIGHT:(C )2018,日本特许厅

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