Lopez-Garcia et al 2016b - Revision history

Scipediacontent at 10:27, 25 January 2021

2021-01-25T10:27:57Z

Scipediacontent at 15:11, 21 January 2021

2021-01-21T15:11:24Z

Scipediacontent: Scipediacontent moved page Draft Content 648797653 to Lopez-Garcia et al 2016b

2020-09-29T07:46:29Z

Scipediacontent moved page Draft Content 648797653 to Lopez-Garcia et al 2016b

Scipediacontent: Created page with " == Abstract == In this paper, a comparative study between a hybrid technique that combines a Genetic Algorithm with a Cross Entropy method to optimize Fuzzy Rule-Based Syste..."

2020-09-29T07:46:26Z

Created page with " == Abstract == In this paper, a comparative study between a hybrid technique that combines a Genetic Algorithm with a Cross Entropy method to optimize Fuzzy Rule-Based Syste..."

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== Abstract ==

In this paper, a comparative study between a hybrid technique that combines a Genetic Algorithm with a Cross Entropy method to optimize Fuzzy Rule-Based Systems, and literature techniques is presented. These techniques are applied to traffic congestion datasets in order to determine their performance in this area. Different types of datasets have been chosen. The used time horizons are 5, 15 and 30 min. Results show that the hybrid technique improves those results obtained by the techniques of the state of the art. In this way, the performed experimentation shows the competitiveness of the proposal in this area of application.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_648797653-beopen4431-3004-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://zenodo.org/record/164849 https://zenodo.org/record/164849] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

* [https://zenodo.org/record/164849/files/MAEB.pdf https://zenodo.org/record/164849/files/MAEB.pdf] under the license cc-by-nc-nd

* [http://link.springer.com/content/pdf/10.1007/978-3-319-44636-3_27 http://link.springer.com/content/pdf/10.1007/978-3-319-44636-3_27],[http://dx.doi.org/10.1007/978-3-319-44636-3_27 http://dx.doi.org/10.1007/978-3-319-44636-3_27] under the license http://www.springer.com/tdm

* [https://link.springer.com/chapter/10.1007/978-3-319-44636-3_27 https://link.springer.com/chapter/10.1007/978-3-319-44636-3_27],[https://rd.springer.com/chapter/10.1007/978-3-319-44636-3_27 https://rd.springer.com/chapter/10.1007/978-3-319-44636-3_27],[https://core.ac.uk/display/144755094 https://core.ac.uk/display/144755094],[https://academic.microsoft.com/#/detail/2514081068 https://academic.microsoft.com/#/detail/2514081068]

← Older revision		Revision as of 10:27, 25 January 2021
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	== Full document ==		== Full document ==
−	<pdf>Media:Lopez-Garcia_et_al_2016b-~~beopen1457~~-~~3721~~-document.pdf</pdf>	+	<pdf>Media:Lopez-Garcia_et_al_2016b-beopen1241-4086-document.pdf</pdf>

@@ Line 2: / Line 2: @@
 == Abstract ==
-In this paper, a comparative study between a hybrid technique that combines a Genetic Algorithm with a Cross Entropy method to optimize Fuzzy Rule-Based Systems, and literature techniques is presented. These techniques are applied to traffic congestion datasets in order to determine their performance in this area. Different types of datasets have been chosen. The used time horizons are 5, 15 and 30 min. Results show that the hybrid technique improves those results obtained by the techniques of the state of the art. In this way, the performed experimentation shows the competitiveness of the proposal in this area of application.
+In this paper, a comparative study between a hybrid technique that combines a Genetic Algorithm with a Cross Entropy method to optimize Fuzzy Rule-Based Systems, and literature techniques is presented. These techniques are applied to traffic congestion datasets in order to determine their performance in this area. Different types of datasets have been chosen. The used time horizons are 5, 15 and 30 min. Results show that the hybrid technique improves those results obtained by the techniques of the state of the art. In this way, the performed experimentation shows the competitiveness of the proposal in this area of application.
 Document type: Part of book or chapter of book
 == Full document ==
-<pdf>Media:Draft_Content_648797653-beopen4431-3004-document.pdf</pdf>
+<pdf>Media:Lopez-Garcia_et_al_2016b-beopen1457-3721-document.pdf</pdf>
@@ Line 14: / Line 14: @@
 The different versions of the original document can be found in:
-* [https://zenodo.org/record/164849 https://zenodo.org/record/164849] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
+* [https://zenodo.org/record/164849 https://zenodo.org/record/164849] under the license https://creativecommons.org/licenses/by-nc-nd
-* [https://zenodo.org/record/164849/files/MAEB.pdf https://zenodo.org/record/164849/files/MAEB.pdf] under the license cc-by-nc-nd
+* [https://zenodo.org/record/164849/files/MAEB.pdf https://zenodo.org/record/164849/files/MAEB.pdf] under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
-* [http://link.springer.com/content/pdf/10.1007/978-3-319-44636-3_27 http://link.springer.com/content/pdf/10.1007/978-3-319-44636-3_27],[http://dx.doi.org/10.1007/978-3-319-44636-3_27 http://dx.doi.org/10.1007/978-3-319-44636-3_27] under the license http://www.springer.com/tdm
+* [http://link.springer.com/content/pdf/10.1007/978-3-319-44636-3_27 http://link.springer.com/content/pdf/10.1007/978-3-319-44636-3_27],
-* [https://link.springer.com/chapter/10.1007/978-3-319-44636-3_27 https://link.springer.com/chapter/10.1007/978-3-319-44636-3_27],[https://rd.springer.com/chapter/10.1007/978-3-319-44636-3_27 https://rd.springer.com/chapter/10.1007/978-3-319-44636-3_27],[https://core.ac.uk/display/144755094 https://core.ac.uk/display/144755094],[https://academic.microsoft.com/#/detail/2514081068 https://academic.microsoft.com/#/detail/2514081068]
+* [https://link.springer.com/chapter/10.1007/978-3-319-44636-3_27 https://link.springer.com/chapter/10.1007/978-3-319-44636-3_27],

← Older revision	Revision as of 07:46, 29 September 2020
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