M.Sc. Tezi Görüntüleme

      Artificial neural Networks are using in a wide variety of application fields in today’s world. Artificial Neural Networks, which simply imitates the working method of human brain, has an important place in artificial intelligence studies. ANN technology can bring the ability to learn to a computer system from a specified input value. This technology is being utilized in many fields which also brings a lot of advantages and improving day by day.

      In this paper, an artificial neural network application has been made on parallel flow heat exchangers using experimental data. First, ANN has been explained in theory and its structure and basic methods of learning has been mentioned. Multi-layer perceptron model has been used for the network formed and an ANN has been modelled using the experimental data gathered by a heat exchanger. In this concept, availability of ANN on heat exchangers has been examined.