Application of neural networks for detecting erroneous tax reports from construction companies

Automation in Construction

Volumn 20, Issue 7, 2011, Pages 935-939

  Chen, Jieh Haur ^a   Su, Mu Chun ^a   Chen, Chang Yi ^a   Hsu, Fu Hau ^a   Wu, Chin Chao ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Construction company; Neural networks; Pattern classification; Tax report

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC MODELS; CONSTRUCTION COMPANIES; LEARNING VECTOR QUANTIZATION; MODEL YIELDS; MULTI-LAYER PERCEPTRONS; NEURAL NETWORK APPLICATION; NORTHERN TAIWAN; RECOGNITION RATES; TAX REPORT;

CONSTRUCTION; CONSTRUCTION INDUSTRY; DECISION TREES; NANOCOMPOSITE FILMS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; TAXATION; VECTOR QUANTIZATION;

NEURAL NETWORKS;

EID: 80052832794     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2011.03.011     Document Type: Article

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