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Model structure selection device, method, disaggregation system and program

机译:模型结构选择装置,方法,分解系统和程序

摘要

PROBLEM TO BE SOLVED: To provide an apparatus and a method for selecting a state model structure from a time series of features of sampled data. An apparatus receives time-series data from a time-series of sample data or a data storage unit that stores a feature amount calculated from the sample data, and the time-series data is based on a sample value distribution of the time-series data. A measure showing the change and repetition characteristics of is calculated, and a state model structure to be used for model training and estimation is selected from the state models including the fully connected state model and the one-way state model based on the measure, and stored in the model storage. The selected state model is stored. [Selection diagram] Fig. 1
机译:解决的问题:提供一种用于从采样数据的特征的时间序列中选择状态模型结构的装置和方法。装置从样本数据的时间序列或存储从样本数据计算出的特征量的数据存储单元接收时间序列数据,并且该时间序列数据基于时间序列数据的样本值分布。计算表示其变化和重复特性的度量,并基于该度量从包括全连接状态模型和单向状态模型的状态模型中选择用于模型训练和估计的状态模型结构,以及存储在模型存储中。所选状态模型被存储。 [选择图]图1

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