Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

Bulletin of Engineering Geology and the Environment

Volumn 74, Issue 3, 2015, Pages 745-757

  Mohamad, Edy Tonnizam ^a   Jahed Armaghani, Danial ^a   Momeni, Ehsan ^a   Alavi Nezhad Khalil Abad, Seyed Vahid ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Artificial neural network; Particle swarm optimization; Rock index tests; Unconfined compressive strength

Indexed keywords

ALGORITHMS; COMPRESSIVE STRENGTH; FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; OPTIMIZATION; ROCKS; STATISTICAL TESTS; TENSILE STRENGTH; ULTRASONIC TESTING; WEATHERING;

BRAZILIAN TENSILE STRENGTHS; COEFFICIENT OF DETERMINATION; INDEX TESTS; OPTIMIZATION ALGORITHMS; PERFORMANCE INDICES; PREDICTIVE MODELING; ROOT MEAN SQUARED ERRORS; UNCONFINED COMPRESSIVE STRENGTH;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84938960941     PISSN: 14359529     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10064-014-0638-0     Document Type: Article

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