Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

Environmental Earth Sciences

Volumn 74, Issue 4, 2015, Pages 2799-2817

  Hajihassani, Mohsen ^a   Jahed Armaghani, Danial ^a   Monjezi, Masoud ^b   Mohamad, Edy Tonnizam ^a   Marto, Aminaton ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Air overpressure; Artificial neural network; Ground vibration; Particle swarm optimization; Vibration blasting impacts

Indexed keywords

ALGORITHMS; BLASTING; FORECASTING; GROUNDWATER; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); QUARRIES;

AIR OVERPRESSURE; ARTIFICIAL NEURAL NETWORK APPROACH; CONSTRUCTION SITES; ENVIRONMENTAL DAMAGE; GRANITE QUARRY; GROUND VIBRATION; MEASURED VALUES; VIBRATION BLASTING IMPACTS;

ENVIRONMENTAL IMPACT;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC PRESSURE; BLASTING; DATA SET; EMPIRICAL ANALYSIS; GROUND MOVEMENT; OPTIMIZATION; OVERPRESSURE; QUARRY;

MALAYSIA;

EID: 84937966450     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-015-4274-1     Document Type: Article

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