EVALUATION OF ARTIFICIAL NEURAL NETWORK IN DETERMINING THE QUALITY AND CLASSIFICATION OF EDIBLE OIL

This paper reviews the application of artificial neural network (ANN) in determination of the quality and classification of edible oils. This point should be considered that other modern methods for examining these parameters are time consuming, so that presenting new methods which are strongly relevant to determination parameters and yet are quick in respond can help to control the oil quality. Moreover, only one test cannot interpret any terms of experiment. One of latest technologies and developed science achievement is modeling which presents sophisticated tools to analyze, interpret and understand the world around us. Nowadays, with the development of processing technology, benefits of artificial intelligence technology such as artificial neural networks, are widely used to model processes. The results showed that the artificial neural network optimization is a successful method for evaluating the parameters. Ultimately, time saving, cost, experimental errors will lead to closer scrutiny and appropriate matching between experimental data and data obtained from the neural network