Parallel artificial neural network using cuda-enabled gpu for extracting hydraulic domain knowledge of large water distribution systems

World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress

Volumn , Issue , 2011, Pages 79-92

  Wu, Z Y ^a   Eftekharian, A A ^b  

^a BENTLEY SYSTEMS   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Hydraulics; Neural networks; Water distribution systems

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTE UNIFIED DEVICE ARCHITECTURES; DOMAIN KNOWLEDGE; GPU IMPLEMENTATION; GRAPHIC PROCESSING UNITS; HIGH PERFORMANCE COMPUTING; LARGE DIMENSIONS; LARGE SYSTEM; PARALLEL COMPUTATION; REAL TIME OPTIMIZATION PROBLEMS; STATE OF THE ART; WATER DISTRIBUTIONS;

ARTS COMPUTING; BEARINGS (STRUCTURAL); COMPUTER SOFTWARE SELECTION AND EVALUATION; COMPUTER SYSTEMS PROGRAMMING; HYDRAULIC MODELS; HYDRAULIC STRUCTURES; NETWORK ARCHITECTURE; PARALLEL ARCHITECTURES; PARALLEL PROCESSING SYSTEMS; PARALLEL PROGRAMMING; SUSTAINABLE DEVELOPMENT; WATER DISTRIBUTION SYSTEMS; WATER RESOURCES;

NEURAL NETWORKS;

EID: 79960424417     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41173(414)9     Document Type: Conference Paper

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