scholarly journals Modeling of Compressive Strength Parallel to Grain of Heat Treated Scotch Pine (Pinus sylvestris L.) Wood by Using Artificial Neural Network

2015 ◽  
Vol 66 (4) ◽  
pp. 347-352
Author(s):  
Fatih Yapıcı ◽  
Raşit Esen ◽  
Okan Erkaymaz ◽  
Hasan Baş
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Compressive Strength ◽  
Pinus Sylvestris ◽  
Scotch Pine ◽  
Heat Treated ◽  
Artificial Neural

scholarly journals Prediction of Compressive Strength Behavior of Ground Bottom Ash Concrete by an Artificial Neural Network

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Kraiwut Tuntisukrarom ◽  
Raungrut Cheerarot
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Compressive Strength ◽  
Bottom Ash ◽  
Strength Development ◽  
Ann Model ◽  
Explicit Equation ◽  
Strength Behavior ◽  
Artificial Neural ◽  
Hidden Layer

The objective of this work was to examine the compressive strength behavior of ground bottom ash (GBA) concrete by using an artificial neural network. Four input parameters, specifically, the water-to-binder ratio (WB), percentage replacement of GBA (PR), median particle size of GBA (PS), and age of concrete (AC), were considered for this prediction. The results indicated that all four considered parameters affect the strength development of concrete, and GBA with a high fineness can act as a good pozzolanic material. The optimal ANN model had an architecture with two hidden layers, with six neurons in the first hidden layer and one neuron in the second hidden layer. The proposed ANN-based explicit equation represented a highly accurate predictive model, for which the statistical values of R2 were higher than 0.996. Moreover, the compressive strength behavior determined using the optimal ANN model closely followed the trend lines and surface plots of the experimental results.

scholarly journals Prediction of the abrasive wear behaviour of heat-treated aluminium-clay composites using an artificial neural network

2018 ◽  
Vol 12 (2) ◽  
pp. 235-240 ◽  
Author(s):  
Ademola Abiona Agbeleye ◽  
David E. Esezobor ◽  
Johnson O. Agunsoye ◽  
Sanmbo A. Balogun ◽  
Adeyanju A. Sosimi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Abrasive Wear ◽  
Wear Behaviour ◽  
Heat Treated ◽  
Artificial Neural ◽  
Abrasive Wear Behaviour
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