USE OF ANN PROGRAM TECHNIQUE FOR CHOOSING THE EFFECTIVE SOIL PROPERTIES ON GROWTH INDEXES OF Amygdalus scoparia

ANNs are computing systems made up of a number of simple, highly interconnected processing elements, also called neurons. Generally, an ANN is made of an input layer, one or several hidden layers (HLs), and an output layer of neurons (Tracey et al., 2011). The input layer neurons receive the input information from the outside environment and transmit it to hidden layer. Each neuron of a subsequent layer first computes a linear combination of the outputs from all neurons of the previous layer and then adds a bias to it(Turan et al., 2011).It is clear, for successful establishment of soil conserving crops, it is necessary to have knowledge about available and sufficient nutrients and soil condition including: texture, P, K, N and soil salinity (Khajeh Abdelahi, 2007). The aim of this study is to investigate of crucial factors on Amygdalus scoparia planting

Keywords:

Amygdalus scoparia , Soil , ANN