Research Article
Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams
Table 2
Summary of different ANN characteristics and investigation parameters in this study.
| | Parameter | Parameter | Description |
| | Fix | Neurons in input layer | 9 | | Neurons in output layer | 1 | | Hidden layer activation function | Sigmoid | | Output layer activation function | Linear | | Cost function | Mean Square Error (MSE) | | Number of epochs | 1000 | | Number of simulations | 500 | | Training algorithm | Gradient descent |
| | Varying | Number of hidden layers | Varying from 1 to 2 | | Neurons in hidden layer | Varying from 1 to 15 |
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