Effects of blood amino acid and hormone level for triglyceride accumulation in the liver are revealed in some previous studies by experimental method. Since there are large individual differences in these effects, it needs a lot of rats for such experiments. Simulation can help, sometimes substitute experiment in various fields especially in engineering field. Recently, combining a supercomputer and Artificial Intelligence technique, simulation is expanding its scope. In this study, one of such a simulation technique, Self-Organizing Map (SOM), proposed by Kohonen and it is a kind of the Neural Networks and using for the competitive learning, is applied for classifying effects of blood amino acid and hormone level for controlling triglyceride accumulation in the liver of rats.
| Published in | International Journal of Intelligent Information Systems (Volume 5, Issue 6) |
| DOI | 10.11648/j.ijiis.20160506.12 |
| Page(s) | 88-93 |
| 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 |
Amino Acid, Triglyceride, Artificial Intelligence, Self-Organizing Map, Neural Network
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APA Style
Masato Masuda, Yasushi Nakabayashi, Ryuji Shioya, Hiroki Nishi, Shinichiro Takahashi, et al. (2016). Study of Effects of Blood Amino Acid and Hormone Level for Controlling Triglyceride Accumulation in the Liver of Rats Using Self-Organizing Map. International Journal of Intelligent Information Systems, 5(6), 88-93. https://doi.org/10.11648/j.ijiis.20160506.12
ACS Style
Masato Masuda; Yasushi Nakabayashi; Ryuji Shioya; Hiroki Nishi; Shinichiro Takahashi, et al. Study of Effects of Blood Amino Acid and Hormone Level for Controlling Triglyceride Accumulation in the Liver of Rats Using Self-Organizing Map. Int. J. Intell. Inf. Syst. 2016, 5(6), 88-93. doi: 10.11648/j.ijiis.20160506.12
AMA Style
Masato Masuda, Yasushi Nakabayashi, Ryuji Shioya, Hiroki Nishi, Shinichiro Takahashi, et al. Study of Effects of Blood Amino Acid and Hormone Level for Controlling Triglyceride Accumulation in the Liver of Rats Using Self-Organizing Map. Int J Intell Inf Syst. 2016;5(6):88-93. doi: 10.11648/j.ijiis.20160506.12
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Download@article{10.11648/j.ijiis.20160506.12,
author = {Masato Masuda and Yasushi Nakabayashi and Ryuji Shioya and Hiroki Nishi and Shinichiro Takahashi and Fumihiko Hakuno},
title = {Study of Effects of Blood Amino Acid and Hormone Level for Controlling Triglyceride Accumulation in the Liver of Rats Using Self-Organizing Map},
journal = {International Journal of Intelligent Information Systems},
volume = {5},
number = {6},
pages = {88-93},
doi = {10.11648/j.ijiis.20160506.12},
url = {https://doi.org/10.11648/j.ijiis.20160506.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160506.12},
abstract = {Effects of blood amino acid and hormone level for triglyceride accumulation in the liver are revealed in some previous studies by experimental method. Since there are large individual differences in these effects, it needs a lot of rats for such experiments. Simulation can help, sometimes substitute experiment in various fields especially in engineering field. Recently, combining a supercomputer and Artificial Intelligence technique, simulation is expanding its scope. In this study, one of such a simulation technique, Self-Organizing Map (SOM), proposed by Kohonen and it is a kind of the Neural Networks and using for the competitive learning, is applied for classifying effects of blood amino acid and hormone level for controlling triglyceride accumulation in the liver of rats.},
year = {2016}
}
TY - JOUR T1 - Study of Effects of Blood Amino Acid and Hormone Level for Controlling Triglyceride Accumulation in the Liver of Rats Using Self-Organizing Map AU - Masato Masuda AU - Yasushi Nakabayashi AU - Ryuji Shioya AU - Hiroki Nishi AU - Shinichiro Takahashi AU - Fumihiko Hakuno Y1 - 2016/12/12 PY - 2016 N1 - https://doi.org/10.11648/j.ijiis.20160506.12 DO - 10.11648/j.ijiis.20160506.12 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 88 EP - 93 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.20160506.12 AB - Effects of blood amino acid and hormone level for triglyceride accumulation in the liver are revealed in some previous studies by experimental method. Since there are large individual differences in these effects, it needs a lot of rats for such experiments. Simulation can help, sometimes substitute experiment in various fields especially in engineering field. Recently, combining a supercomputer and Artificial Intelligence technique, simulation is expanding its scope. In this study, one of such a simulation technique, Self-Organizing Map (SOM), proposed by Kohonen and it is a kind of the Neural Networks and using for the competitive learning, is applied for classifying effects of blood amino acid and hormone level for controlling triglyceride accumulation in the liver of rats. VL - 5 IS - 6 ER -
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