Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems.

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Title: Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems.
Authors: Mokhtar, Maizura1 MMokhtar@uclan.ac.uk, Howe, Joe1 JMHowe@uclan.ac.uk
Source: Expert Systems with Applications. Nov2013, Vol. 40 Issue 15, p6007-6018. 12p.
Subjects: Comparative studies, Distance education, Fuzzy systems, Energy management, Energy consumption, Systems theory, Expert systems
Abstract: Highlights: [•] We created a UCLan Westlakes Samuel Lindow Building heat simulation model. [•] We created a Fuzzy ARTMAP building energy management system with online learning. [•] We created a Gaussian ARTMAP building energy management system with online learning. [•] We compared which of the two creates a more efficient building energy management system. [•] Gaussian ARTMAP is better for use in building energy management system with online learning. [ABSTRACT FROM AUTHOR]
Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 89133883
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems.
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  Data: <searchLink fieldCode="AR" term="%22Mokhtar%2C+Maizura%22">Mokhtar, Maizura</searchLink><relatesTo>1</relatesTo><i> MMokhtar@uclan.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Howe%2C+Joe%22">Howe, Joe</searchLink><relatesTo>1</relatesTo><i> JMHowe@uclan.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>. Nov2013, Vol. 40 Issue 15, p6007-6018. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Distance+education%22">Distance education</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Expert+systems%22">Expert systems</searchLink>
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  Label: Abstract
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  Data: Highlights: [•] We created a UCLan Westlakes Samuel Lindow Building heat simulation model. [•] We created a Fuzzy ARTMAP building energy management system with online learning. [•] We created a Gaussian ARTMAP building energy management system with online learning. [•] We compared which of the two creates a more efficient building energy management system. [•] Gaussian ARTMAP is better for use in building energy management system with online learning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1016/j.eswa.2013.05.024
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      – Code: eng
        Text: English
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        PageCount: 12
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      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Distance education
        Type: general
      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Energy management
        Type: general
      – SubjectFull: Energy consumption
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      – SubjectFull: Systems theory
        Type: general
      – SubjectFull: Expert systems
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      – TitleFull: Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems.
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              Text: Nov2013
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              Y: 2013
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