Using Neural Network For Control Of Fuzzy Storage

Abstract

In this research, an optimal model will be created to control the storage in the blood bank in Nineveh Governorate by studying the continuous review system for storage in light of the ambiguity of random demand. Data were withdrawn from the blood bank and on three inputs (order quantity, damaged quantity and number of donors), where the data distribution was verified and the normal distribution was also linearly followed. At first, we fogged the data using the ready-made tool in the program ((matlab) and after obtaining the results we entered it onthe neural network (RNN).The best result obtained is the use of the fuzzy neural network as compared to the classical method.