Research Article
Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash
Table 3
Summary of different ANN characteristics used in this study.
| Parameter | Parameter | Description |
| Fix | Neurons in input layer | 8 | Neurons in output layer | 1 | Hidden layer activation function | Sigmoid | Output layer activation function | Linear | Training algorithm | Conjugate gradient backpropagation with Powell-Beale restarts | Cost function | Mean square error (MSE) | Number of hidden layers | 1 |
| Investigation | Neurons in hidden layer | Varying 13 different values |
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