A novel time series classification for multivariate data using improved deep belief-recurrent neural network with optimal dynamic time warping
Bukya Mohan Babu,
B. Sandhya
Abstract:In the past ten years, data from time series extraction has attracted a lot of attention. Several methods have concentrated on classification problems, where the objective is to identify the labelling of a test period, given labelled training data. Feature-based and Instance-based methods are the two fundamental groups into which time series categorization methodologies may be divided. To categorize time series data, instance-based techniques use similarity data in a nearest-neighbor context. While methods in … Show more
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