From: Prediction of environmental indicators in land leveling using artificial intelligence techniques
Selected ANN for prediction of total machinery cost (TMC) | Selected ANN for prediction of total machinery energy (TME) | ||||||
---|---|---|---|---|---|---|---|
NTF | Network topology | RMSE | R 2 | NTF | Network topology | RMSE | R 2 |
trainlm | 5-8-10 | 0.0287 | 0.9966 | trainlm | 6-4 | 0.0157 | 0.9990 |
trainlm | 7-9-2 | 0.0298 | 0.9963 | trainlm | 4-5-3 | 0.0158 | 0.9990 |
trainlm | 4-5-7 | 0.0304 | 0.9961 | trainlm | 6-2-4 | 0.0160 | 0.9990 |
trainlm | 7-8 | 0.0329 | 0.9957 | trainlm | 2-7 | 0.0163 | 0.9989 |
trainlm | 7-2-2 | 0.0332 | 0.9954 | trainlm | 3-2 | 0.0164 | 0.9989 |
trainlm | 3-2-3 | 0.0332 | 0.9954 | trainbr | 5-6 | 0.0167 | 0.9989 |
trainlm | 2-4-10 | 0.0343 | 0.9951 | trainlm | 3-2-8 | 0.0168 | 0.9989 |
trainlm | 2-2-5 | 0.0345 | 0.9951 | trainlm | 9-2-10 | 0.0171 | 0.9989 |
trainbr | 3-9 | 0.0345 | 0.9950 | trainlm | 2-4-2 | 0.0192 | 0.9985 |
trainbr | 5-8 | 0.0349 | 0.9950 | trainlm | 2-2-2 | 0.0199 | 0.9984 |
trainscg | 7 | 0.0321 | 0.9958 | trainscg | 8 | 0.0164 | 0.9989 |
trainlm | 2 | 0.0325 | 0.9948 | trainlm | 3 | 0.0176 | 0.9987 |
trainbr | 5 | 0.0328 | 0.9955 | traingdx | 2 | 0.0300 | 0.9964 |
trainrp | 4 | 0.0368 | 0.9944 | ||||
traingdx | 2 | 0.0433 | 0.9922 |