Abstract:
Nowadays, Neural Network technologies are
applied in many fields. Neural Networks (NN) rely on
the inner structure of available data sets rather than
on comprehension of the modeled processes between
inputs and outputs. Therefore, neural networks have
been regarded as highly empirical models with
limited extrapolation capability to situations outside
the range of the training and validation data sets.
This paper introduces the predict yield in describe
field with neural network using backpropagation
algorithm. This system is intended to compare the
yield using training weights on all fields and the yield
using training weights on each field.
