Abstract
this search deals with the artificial neural network model in predicted model for data of agriculture production of wheat in iraq. by using the form ( 1-2-2 )FFNN which represented one input layer consist of two independent variables add to the constant (the bias ) and one hidden layer consist of two nodes each node taken to be logistic function from the other hand the output layer consist of one node represented dependent variables (response variable )add to the constant ( bias )and this node taken to be linear function this study plained that the artificial neural network model is the best for building the predicted model of wheat production in iraq .
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