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Information Seminar Paper

Title

ARTIFICIAL NEURAL NETWORK OPTIMIZATION USING GA AND PSO ALGORITHMS TO PREDICT REFRACTIVE INDEX OF BINARY SOLUTIONS

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Abstract

 IN THIS STUDY, AN ARTIFICIAL NEURAL NETWORK WAS USED TO PREDICT THE REFRACTIVE INDEX OF THE BINARY SOLUTIONS, INCLUDING ALCOHOL-ALKANE, ALKANE-ALKANE AND ALCOHOL-ALCOHOL. INPUTS OF THE NEURAL NETWORK ARE MOLECULAR MASS OF THE FIRST SUBSTANCE, SECOND SUBSTANCE MOLECULAR WEIGHT, TEMPERATURE, MOLE FRACTION OF THE FIRST SUBSTANCE, FUNCTIONAL GROUPS, AND THE OUTPUT OF NEURAL NETWORK IS REFRACTIVE INDEX OF BINARY SOLUTIONS. ...

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    APA: Copy

    Vafaei, Niousha, & MOVAGHARNEJAD, KAMYAR. (2016). ARTIFICIAL NEURAL NETWORK OPTIMIZATION USING GA AND PSO ALGORITHMS TO PREDICT REFRACTIVE INDEX OF BINARY SOLUTIONS. IRANIAN PHYSICAL CHEMISTRY CONFERENCE. SID. https://sid.ir/paper/925549/en

    Vancouver: Copy

    Vafaei Niousha, MOVAGHARNEJAD KAMYAR. ARTIFICIAL NEURAL NETWORK OPTIMIZATION USING GA AND PSO ALGORITHMS TO PREDICT REFRACTIVE INDEX OF BINARY SOLUTIONS. 2016. Available from: https://sid.ir/paper/925549/en

    IEEE: Copy

    Niousha Vafaei, and KAMYAR MOVAGHARNEJAD, “ARTIFICIAL NEURAL NETWORK OPTIMIZATION USING GA AND PSO ALGORITHMS TO PREDICT REFRACTIVE INDEX OF BINARY SOLUTIONS,” presented at the IRANIAN PHYSICAL CHEMISTRY CONFERENCE. 2016, [Online]. Available: https://sid.ir/paper/925549/en

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