Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks

Yahya Hassanzadeh-Nazarabadi; S. Majed Modaresi; S. Bahram Jafari; Sanaz Taheri-Boshrooyeh

doi:doi:10.11648/j.mc.20140202.12

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Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks

Yahya Hassanzadeh-Nazarabadi, S. Majed Modaresi, S. Bahram Jafari, Sanaz Taheri-Boshrooyeh

Published in Modern Chemistry (Volume 2, Issue 2)

Received: 26 April 2014 Accepted: 26 May 2014 Published: 30 May 2014

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Abstract

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.

Published in	Modern Chemistry (Volume 2, Issue 2)
DOI	10.11648/j.mc.20140202.12
Page(s)	15-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Neural Networks, Neurons, Matlab 2013, Fitnet Function, Levenberg-Marquart Algorithm

References

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[2]	Rahman, J.C.d.a.M.H., QSAR Approach To The Prediction Of Melting Points Of Substituted Anilines. 6th Int. Conf. on Mathematical Modlling, 1988. 11: p. 843-846.
[3]	WANG Qiang, M.P.a.N.S., Position Group Contribution Method for Estimation of Melting Point of Organic Compounds. Chinese Journal of Chemical Engineering, 2009. 17: p. 468-472.
[4]	Paula, P.A.a.J.d., Physical Chemistry. 2010: Freeman , NewYork.
[5]	Aalae Alkhalil , J.B.N., Clive J. Roberts , Jonathan W. Aylott , and Jonathan C. Burley, Confocal Raman Microscope Mapping of a Kofler Melt. Crystal Growth and Design - ACS Publications, 2011: p. 422-430.
[6]	Fangyou Yana, S.X., Qiang Wangb, Zhen Yanga, Peisheng Maa, Predicting the melting points of ionic liquids by the Quantitative Structure Property Relationship method using a topological index. The Journal of Chemical Thermodynamics, 2013. 62: p. 196-200.
[7]	Jonsdottir, J.D.D.a.S.O., QSPR Models For Various Physical Properties of Carbo-hydrates Based on Molecular Mechanics and Quantum Chemical Calculations. Carbohydrate Re-search, 2004. 339: p. 269-280.
[8]	Handbook of Chemistry and Physics. 84 ed. 2004: CRC Press.
[9]	Menhaj, M.B., Fundamentals of Neural Networks. Vol. Computational Intelligence (vol.1). 2012.
[10]	Yekta, A.F., Guidance of MATLAB7. 2005.

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Yahya Hassanzadeh-Nazarabadi, S. Majed Modaresi, S. Bahram Jafari, Sanaz Taheri-Boshrooyeh. (2014). Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks. Modern Chemistry, 2(2), 15-18. https://doi.org/10.11648/j.mc.20140202.12

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ACS Style

Yahya Hassanzadeh-Nazarabadi; S. Majed Modaresi; S. Bahram Jafari; Sanaz Taheri-Boshrooyeh. Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks. Mod. Chem. 2014, 2(2), 15-18. doi: 10.11648/j.mc.20140202.12

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AMA Style

Yahya Hassanzadeh-Nazarabadi, S. Majed Modaresi, S. Bahram Jafari, Sanaz Taheri-Boshrooyeh. Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks. Mod Chem. 2014;2(2):15-18. doi: 10.11648/j.mc.20140202.12

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@article{10.11648/j.mc.20140202.12,
  author = {Yahya Hassanzadeh-Nazarabadi and S. Majed Modaresi and S. Bahram Jafari and Sanaz Taheri-Boshrooyeh},
  title = {Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks},
  journal = {Modern Chemistry},
  volume = {2},
  number = {2},
  pages = {15-18},
  doi = {10.11648/j.mc.20140202.12},
  url = {https://doi.org/10.11648/j.mc.20140202.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mc.20140202.12},
  abstract = {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.},
 year = {2014}
}

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TY  - JOUR
T1  - Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks
AU  - Yahya Hassanzadeh-Nazarabadi
AU  - S. Majed Modaresi
AU  - S. Bahram Jafari
AU  - Sanaz Taheri-Boshrooyeh
Y1  - 2014/05/30
PY  - 2014
N1  - https://doi.org/10.11648/j.mc.20140202.12
DO  - 10.11648/j.mc.20140202.12
T2  - Modern Chemistry
JF  - Modern Chemistry
JO  - Modern Chemistry
SP  - 15
EP  - 18
PB  - Science Publishing Group
SN  - 2329-180X
UR  - https://doi.org/10.11648/j.mc.20140202.12
AB  - 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.
VL  - 2
IS  - 2
ER  -

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Author Information

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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Plain Text BibTeX RIS

APA Style

Yahya Hassanzadeh-Nazarabadi, S. Majed Modaresi, S. Bahram Jafari, Sanaz Taheri-Boshrooyeh. (2014). Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks. Modern Chemistry, 2(2), 15-18. https://doi.org/10.11648/j.mc.20140202.12

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ACS Style

Yahya Hassanzadeh-Nazarabadi; S. Majed Modaresi; S. Bahram Jafari; Sanaz Taheri-Boshrooyeh. Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks. Mod. Chem. 2014, 2(2), 15-18. doi: 10.11648/j.mc.20140202.12

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AMA Style

Yahya Hassanzadeh-Nazarabadi, S. Majed Modaresi, S. Bahram Jafari, Sanaz Taheri-Boshrooyeh. Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks. Mod Chem. 2014;2(2):15-18. doi: 10.11648/j.mc.20140202.12

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@article{10.11648/j.mc.20140202.12,
  author = {Yahya Hassanzadeh-Nazarabadi and S. Majed Modaresi and S. Bahram Jafari and Sanaz Taheri-Boshrooyeh},
  title = {Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks},
  journal = {Modern Chemistry},
  volume = {2},
  number = {2},
  pages = {15-18},
  doi = {10.11648/j.mc.20140202.12},
  url = {https://doi.org/10.11648/j.mc.20140202.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mc.20140202.12},
  abstract = {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.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Predicting the Melting Point of Organic Compounds Consist of Carbon, Hydrogen, Nitrogen and Oxygen Using Multi Layer Perceptron Artificial Neural Networks
AU  - Yahya Hassanzadeh-Nazarabadi
AU  - S. Majed Modaresi
AU  - S. Bahram Jafari
AU  - Sanaz Taheri-Boshrooyeh
Y1  - 2014/05/30
PY  - 2014
N1  - https://doi.org/10.11648/j.mc.20140202.12
DO  - 10.11648/j.mc.20140202.12
T2  - Modern Chemistry
JF  - Modern Chemistry
JO  - Modern Chemistry
SP  - 15
EP  - 18
PB  - Science Publishing Group
SN  - 2329-180X
UR  - https://doi.org/10.11648/j.mc.20140202.12
AB  - 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.
VL  - 2
IS  - 2
ER  -

Copy | Download