FORECASTING CONTAINER CAPACITY USING ARTIFICIAL NEURAL NETWORK ALGORITHM AT RAJAIE SEAPORT

In this research Artificial Neural Network (ANN) as a main tool calculations was used for container capacity prediction at Rajaie seaport. The ANNs are a learner trainee network base on the samples, like the human. The ANNs could be arranged for different tasks, such as pattern recognition, information categorizing, prediction, and etc. [1]. This application many times were used as a powerful calculations tool for estimation and prediction based on the input data [2]. These tools included two important part; trainee, and test. First, the network trained using the input data, then this network will be used for simulation in the second step (test). On the other hand performance of these process are non-simultaneously. Forasmuch as, ANNs are accurate for estimations therefore used in this project to estimate the container capacity in Rajaie seaport.