Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning
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Universiti Malaysia Perlis (UniMAP)
2018
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my.unimap-527592018-05-04T07:07:48Z Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning Siti Hajar, M. T. Shamshul Bahar, Yaakob Amran, Ahmed shamshul@unimap.edu.my Mean-Variance analysis Two Layer Boltzmann Machine Power System Investment Planning Link to publisher's homepage at http://jere.unimap.edu.my In order to solve a problem efficiently, a structural learning of Boltzmann machine had been proposed and this method enables researcher to solve the problem defined in terms of mixed integer quadratic programming. From this proposed method, an effective selection of results was obtained. In this research, an analysis was performed by using the concepts of the reliability and risks of units evaluated using a variance-covariance matrix. In addition, the effect and expanses of replacement are also measured. Mean-variance analysis is formulated as a mathematical programming with two objectives to minimize the risk and maximize the expected return. Then, a Boltzmann machine was employed to solve the mean-variance analysis efficiently. Findings from this study show that the result of the structural learning of Boltzmann machine method was exemplified. For this reason, the effectiveness of the decision making process can be enhanced. 2018-05-04T07:07:48Z 2018-05-04T07:07:48Z 2017 Article Journal of Engineering Research and Education, vol.9, 2017, pages 1-10 1823-2981 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/52759 en Universiti Malaysia Perlis (UniMAP) |
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Universiti Malaysia Perlis |
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UniMAP Library |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
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UniMAP Library Digital Repository |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Mean-Variance analysis Two Layer Boltzmann Machine Power System Investment Planning |
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Mean-Variance analysis Two Layer Boltzmann Machine Power System Investment Planning Siti Hajar, M. T. Shamshul Bahar, Yaakob Amran, Ahmed Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning |
| description |
Link to publisher's homepage at http://jere.unimap.edu.my |
| author2 |
shamshul@unimap.edu.my |
| author_facet |
shamshul@unimap.edu.my Siti Hajar, M. T. Shamshul Bahar, Yaakob Amran, Ahmed |
| format |
Article |
| author |
Siti Hajar, M. T. Shamshul Bahar, Yaakob Amran, Ahmed |
| author_sort |
Siti Hajar, M. T. |
| title |
Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning |
| title_short |
Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning |
| title_full |
Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning |
| title_fullStr |
Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning |
| title_full_unstemmed |
Structural Learning of Two Layer Boltzmann Machine and Its Application to Power System Investment Planning |
| title_sort |
structural learning of two layer boltzmann machine and its application to power system investment planning |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2018 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/52759 |
| _version_ |
1643803648716701696 |
| score |
13.250246 |