An integrated approach for optimum design of HPC mix proportion using genetic algorithm and artificial neural networks

Computers and Concrete

Volumn 6, Issue 3, 2009, Pages 253-268

  Parichatprecha, Rattapoohm ^a   Nimityongskul, Pichai ^b  

^a NARESUAN UNIVERSITY   (Thailand)

^b ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

Artificial neural networks; Genetic algorithm; High performance concrete; Minimum cost; Optimization

Indexed keywords

BACKPROPAGATION; CONCRETES; COSTS; DEEP NEURAL NETWORKS; GENETIC ALGORITHMS; INTEGRATED CONTROL; MATLAB; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; OPTIMIZATION; USER INTERFACES;

CONCRETE COMPONENTS; CONSTRAINT VIOLATION; INTEGRATED APPROACH; MINIMUM COST; MULTILAYER BACK PROPAGATION; OPTIMIZATION SYSTEM; SYSTEM PROTOTYPE; TRIAL AND ERROR TECHNIQUE;

HIGH PERFORMANCE CONCRETE;

EID: 67650602137     PISSN: 15988198     EISSN: None     Source Type: Journal    
DOI: 10.12989/cac.2009.6.3.253     Document Type: Article

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