Combustion Characteristic Prediction of Dual Direct Injection Fuel (Diesel-Propane) on RCEM Based on an Artificial Neural Network Approach

Table 5

Particulars of the neural network [39].

Network	3 inputs, 5 outputs, and one hidden layer
Data	Training: 75% randomly selected data from experimental data; Test: 25% randomly selected data from experimental data
Network type	Feed-forward backpropagation
Training function	trainlm
Adaptation learning function	learngdm
Transfer function	logsig
Performance function	Mean square error
Stopping criteria	Break the training of network when the confirmation error begins increasing