Nonlinear Autoregressive Neural Network for Estimation Soil Temperature : a Comparison of Different Optimization Neural Network Algorithms

@inproceedings{AlAllaf2011NonlinearAN,
  title={Nonlinear Autoregressive Neural Network for Estimation Soil Temperature : a Comparison of Different Optimization Neural Network Algorithms},
  author={Omaima N. A. Al-Allaf and Shahlla A. AbdAlKader},
  year={2011}
}
The objective of this paper is to develop an Artificial Neural Network (ANN) model to estimate soil temperature for any day. We used air average temperature, sunshine, radiation and soil temperature for meteorological data between years [1980 and 1984] at Nineveh/Iraq Meteorological Station. In this research, three ANN models with their associated training algorithms (Backpropagation neural network (BPNN), Cascade-Forward and Nonlinear Autoregressive (NARX)) were used for estimating soil… CONTINUE READING