Deep convolutional computation model for feature learning on big data in internet of things

IEEE Transactions on Industrial Informatics

Volumn 14, Issue 2, 2018, Pages 790-798

  Li, Peng ^a   Chen, Zhikui ^a   Yang, Laurence Tianruo ^b   Zhang, Qingchen ^b   Deen, M Jamal ^c  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b ST FRANCIS XAVIER UNIVERSITY   (Canada)

^c MCMASTER UNIVERSITY   (Canada)

Author keywords

Big data; Convolutional neural network (cnn); Deep convolutional computation model (dccm); High order backpropagation (hbp) algorithm; Internet of things (iot); Tensor computation

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COMPUTATION THEORY; CONVOLUTION; DATA MINING; DATA STRUCTURES; FEATURE EXTRACTION; INTERNET OF THINGS; LEARNING SYSTEMS; NEURAL NETWORKS; TENSILE STRESS; TENSORS; VECTOR SPACES;

CLASSIFICATION ACCURACY; COMPUTATION MODEL; COMPUTATIONAL MODEL; CONVOLUTIONAL NEURAL NETWORK; HIERARCHICAL FEATURES; INTERNET OF THINGS (IOT); TENSOR REPRESENTATION; TRAINING EFFICIENCY;

BIG DATA;

EID: 85028458790     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2017.2739340     Document Type: Article

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