A novel hypergraph-based feature extraction technique for boiler flue gas components classification using PNN – A computational model for boiler flue gas analysis

Journal of Industrial Information Integration

Volumn 9, Issue , 2018, Pages 35-44

  Lakshmi, R Seetha ^a   Sivakumar, A ^b   Rajaram, Gangothri ^a   Swaminathan, V ^c   Kannan, K ^a  

^a SASTRA UNIVERSITY   (India)

^b Reliance Industries   (India)

^c NONE   (India)

Author keywords

Boiler flue gas; Feature extraction; Hypergraph; Industrial Information Integration; Probabilistic Neural Network

Indexed keywords

ACCIDENT PREVENTION; BOILERS; DATA MINING; EXTRACTION; FEATURE EXTRACTION; FLUE GASES; FLUES; FREQUENCY RESPONSE; GASES; INDUSTRIAL RESEARCH; INFORMATION RETRIEVAL; INTELLIGENT COMPUTING; MATHEMATICAL PROGRAMMING; NEURAL NETWORKS; TOPOLOGY;

BOILER FLUE GAS; COMPUTATIONALLY EFFICIENT; FEATURE EXTRACTION TECHNIQUES; GEOMETRICAL FEATURES; HYPERGRAPH; INFORMATION INTEGRATION; PROBABILISTIC NEURAL NETWORKS; TOPOLOGICAL FEATURES;

CLASSIFICATION (OF INFORMATION);

EID: 85043986260     PISSN: 2452414X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jii.2017.11.002     Document Type: Article

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