DYNAMIC CONTEXT-SELECTIVE CONVOLUTIONAL NEURAL NETWORK FOR TIME SERIES DATA CLASSIFICATION

DYNAMIC CONTEXT-SELECTIVE CONVOLUTIONAL NEURAL NETWORK FOR TIME SERIES DATA CLASSIFICATION

A convolutional neural network for classifying time series data uses a dynamic context selection. In one example a method includes receiving a plurality of inputs of different sizes at a convolutional neural network, applying convolution and pooling to each of the inputs to provide a plurality of ou...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chen Yen-Kuang, Florez Omar U, Huang Freddie H, Huang Jonathan J
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A convolutional neural network for classifying time series data uses a dynamic context selection. In one example a method includes receiving a plurality of inputs of different sizes at a convolutional neural network, applying convolution and pooling to each of the inputs to provide a plurality of outputs of different sizes, changing the size of each of the outputs to a selected uniform size, reshaping each of the outputs to a vector, and fully connecting the vectors.