One-step iterative prediction based on CPRBF network has good prediction performance.
It can be seen that the proposed FEM ANN approach have good prediction capability.
Application examples show that the engineering analysis method has good prediction accuracy.
The results reveal that the proposed models have good prediction capability with acceptable errors.
The results revealed that the proposed models have good prediction and generalization capacity with acceptable errors.
It should also be noted that a model with minimum E max is likely to have good prediction across the data points than the one with higher value.
The value of r2 for all the outputs were found to be closer to 1 indicating that the model has good prediction capability.
Analysis of results shows that the proposed model has good prediction accuracy and provides a useful qualitative description of the prediction system.
Experimental results demonstrate that the proposed approach has good prediction accuracy and can deal with data having a −40 dB signal to noise ratio (SNR).
Results showed artificial intelligence models have good prediction performance and could be successfully applied to establish municipal solid waste forecasting models.
