An artificial neural network application to produce debris source areas of Barla , Besparmak , and Kapi Mountains (NW Taurids , Turkey ). M. C. Tunusluoglu1, C. Gokceoglu1, H. Sonmez1, and H. A. Nefeslioglu2. Prepared by : Lamiya El_Saedi. 1-Introduction:.
An artificial neural network application to produce debris source areas of Barla, Besparmak, and KapiMountains(NW Taurids, Turkey)
M. C. Tunusluoglu1, C. Gokceoglu1, H. Sonmez1, and H. A. Nefeslioglu2
Prepared by :
The study area is located at the connection point of West Taurids and Middle Taurids
The precipitation data is very important for such type analyses.
Statistical properties of each parameter were assessed into two groups such as:
pixels representing debris source areas and
pixels representing free from debris source areas.
is the production of data matrix.
Since the parameter of geology is a categorical data, it was expressed
[30 × numbers of input nodes ×(numbers of input nodes+1)] and
[60 × numbers of input nodes × (numbers of input nodes+1)].
the initial weight range was randomly selected between −1.0 and 1.0.
dynamic learning rate was preferred instead of constant unique value
this approach gives minimum number of hidden layers among the approaches proposed for the selection of the number of hidden layers.
The ANN structures were trained by using combinations
of learning rates and the number of hidden neurons