Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks
Volume 2, Issue 2, April 2014, Pages: 15-18
Received: Apr. 26, 2014;
Accepted: May 26, 2014;
Published: May 30, 2014
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Yahya Hassanzadeh-Nazarabadi, Mobile Robot Department, Parse Lab of Robotic, Mashhad, Iran
S. Majed Modaresi, Chemistry Department, Ferdowsi University, Park Sq, Mashad, Iran
S. Bahram Jafari, Chemistry Department, Tabriz Uneversity, Abresan, Tabriz, Iran
Sanaz Taheri-Boshrooyeh, Mobile Robot Department, Parse Lab of Robotic, Mashhad, Iran
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So far the methods used to predict or calculate the melting point of organic compunds do not focus on the compound nature, they mostly use microscopic physio-chemical properties of materials. In this paper the disadvantage of such traditional methods will be defined. Then a new method is introduced. This method uses the nature properties of compounds to estimate their melting point based on an artificial neural network and offsets the disadvantges of pervious ones.
Artificial Neural Networks, Neurons, Matlab 2013, Fitnet Function, Levenberg-Marquart Algorithm
To cite this article
S. Majed Modaresi,
S. Bahram Jafari,
Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks, Modern Chemistry.
Vol. 2, No. 2,
2014, pp. 15-18.
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