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Learning processor, learning processing method, learning processing program, classification processor, classification processing program and classification processing program

机译:学习处理器,学习处理方法,学习处理程序,分类处理器,分类处理程序和分类处理程序

摘要

The appropriate classification model can be generated by the learning process using a part of the data.When the learning completion condition is satisfied by taking into consideration a predetermined number of time series data in the learning processing in the learning processing using the time series data, the learning classification apparatus 1 generates the teacher data and classification model parameters and ends the learning processing, and then the learning process is completed Classification processing using the classification parameters is performed.For this reason, the learning classification apparatus 1 can generate a classification model parameter suitable for the classification processing at the stage in which necessary and sufficient time series data is incorporated under the appropriate learning completion condition.Thus, the learning classification apparatus 1 can appropriately perform the classification processing by acquiring the time series data sequentially by setting the learning completion condition appropriately.Diagram
机译:可以使用数据的一部分来通过学习过程生成适当的分类模型。通过考虑使用时间序列数据在学习处理中的学习处理中的预定时间序列数据时满足学习完成条件,学习分类装置1生成教师数据和分类模型参数,并结束学习处理,然后学习处理完成使用分类参数完成分类处理。必须这样,学习分类装置1可以生成分类模型参数适用于在适当的学习完成条件下结合所需和足够的时间序列数据的阶段的分类处理.thus,学习分类装置1可以通过定位依次获取时间序列数据来适当地执行分类处理G学习完成条件适当.diagram

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