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Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Nishiigami, Wataru, Watada, Junzo, Prof. Dr., Shamshul Bahar, Yakoob, Assoc. Prof. Dr.
Other Authors: por_siebzehn@moegi.waseda.jp
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Meta controlled Boltzmann machine
Boltzmann machine
Hopfield network
Convergence proof
Mixed-integer quadratic programming
Structural learning
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20507
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spelling my.unimap-205072012-07-20T03:14:21Z Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem Nishiigami, Wataru Watada, Junzo, Prof. Dr. Shamshul Bahar, Yakoob, Assoc. Prof. Dr. por_siebzehn@moegi.waseda.jp watada@waseda.jp shamshul@unimap.edu.my Meta controlled Boltzmann machine Boltzmann machine Hopfield network Convergence proof Mixed-integer quadratic programming Structural learning International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. In this paper, meta controlled Boltzmann machine; the double-layered Boltzmann machine consisting of upper (Hopfield network) and lower (Boltzmann network) layers, is efficiently applied to solve mean-variance problem using mathematical programming with two objectives: the minimization of risk and the maximization of expected return. It is demonstrated that the proposed structural learning method has various advantages in a way such as an investment for a power system. As a result, it was shown that the structural learning can provide an alternative solution for decision makers to select the best solution from their respective point of view, as a numerical example shows. The simulation also showed that computational cost is significantly decreased compared with a conventional BM. The obtained results showed that the selection, investment expense rate to substations, and reduced computation time can be prolonged to increase cost savings. 2012-07-20T03:14:19Z 2012-07-20T03:14:19Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20507 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Meta controlled Boltzmann machine
Boltzmann machine
Hopfield network
Convergence proof
Mixed-integer quadratic programming
Structural learning
spellingShingle Meta controlled Boltzmann machine
Boltzmann machine
Hopfield network
Convergence proof
Mixed-integer quadratic programming
Structural learning
Nishiigami, Wataru
Watada, Junzo, Prof. Dr.
Shamshul Bahar, Yakoob, Assoc. Prof. Dr.
Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 por_siebzehn@moegi.waseda.jp
author_facet por_siebzehn@moegi.waseda.jp
Nishiigami, Wataru
Watada, Junzo, Prof. Dr.
Shamshul Bahar, Yakoob, Assoc. Prof. Dr.
format Working Paper
author Nishiigami, Wataru
Watada, Junzo, Prof. Dr.
Shamshul Bahar, Yakoob, Assoc. Prof. Dr.
author_sort Nishiigami, Wataru
title Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem
title_short Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem
title_full Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem
title_fullStr Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem
title_full_unstemmed Convergence of meta-controlled Boltzmann machine and its application for bilevel programming problem
title_sort convergence of meta-controlled boltzmann machine and its application for bilevel programming problem
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20507
_version_ 1643793093851348992
score 13.160551

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