Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes

Assessment of the effects of rice husk ash particle size on strength, water permeability and workability of binary blended concrete

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Compressive strength, modulus of elasticity, and water permeability of inorganic polymer concrete

(2010) J. Wongpa et al.   MATERIALS & DESIGN

Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic

(2008) Mustafa Sarıdemir et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic

(2008) İlker Bekir Topçu et al.   MATERIALS & DESIGN

Optimization of Neural Network for Charpy Toughness of Steel Welds

(2008) Junhak Pak et al.   MATERIALS AND MANUFACTURING PROCESSES

Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE

Influence of rice husk–bark ash on mechanical properties of concrete containing high amount of recycled aggregates

(2007) Weerachart Tangchirapat et al.   CONSTRUCTION AND BUILDING MATERIALS