Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation

Margarita Terziyska; Yancho Todorov; Maria Dobreva

doi:10.1007/978-3-319-65530-7_17

Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation

Margarita Terziyska
, Yancho Todorov
, Maria Dobreva

University of Food Technologies-Plovdiv

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

6 Citations (Scopus)

Abstract

In this paper the effectiveness of different error metrics for assessment of the capabilities of an advanced fuzzy-neural architecture are studied. The proposed structure combines the potentials of the Intuitionistsc Fuzzy Logic with the simplicity of the Neo-Fuzzy Neuron theory for implementation of robust modeling mechanisms, able to capture uncertain variations in the data space. A major concern when evaluating the performance of such kind of models is the selection of appropriate error metrics in order to assess their potential to capture a wide range of system behaviours. Therefore, different error metrics to evaluate the functional properties of a proposed Intuitionistic Neo-fuzzy network are studied and a comparative analysis in modeling of chaotic time series is made.

Original language	English
Title of host publication	Advanced Computing in Industrial Mathematics
Subtitle of host publication	11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers
Editors	Krasimir Georgiev, Michail Todorov, Ivan Georgiev
Publisher	Springer
Pages	185-201
Number of pages	16
Volume	728
ISBN (Electronic)	978-3-319-65530-7
ISBN (Print)	978-3-319-65529-1
DOIs	https://doi.org/10.1007/978-3-319-65530-7_17
Publication status	Published - 1 Jan 2018
MoE publication type	A3 Book section, Chapters in research books
Event	Annual Meeting of the Bulgarian Section of SIAM - Sofia, Bulgaria Duration: 20 Dec 2016 → 22 Dec 2016 Conference number: 11

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer
Volume	728
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	Annual Meeting of the Bulgarian Section of SIAM
Abbreviated title	BGSIAM
Country/Territory	Bulgaria
City	Sofia
Period	20/12/2016 → 22/12/2016

Keywords

artificial neural network
modeling
efficent metrics
error estimates

Access to Document

10.1007/978-3-319-65530-7_17

Cite this

Terziyska, M., Todorov, Y., & Dobreva, M. (2018). Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation. In K. Georgiev, M. Todorov, & I. Georgiev (Eds.), Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers (Vol. 728, pp. 185-201). (Studies in Computational Intelligence; Vol. 728). Springer. https://doi.org/10.1007/978-3-319-65530-7_17

Terziyska, Margarita ; Todorov, Yancho ; Dobreva, Maria. / Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation. Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers. editor / Krasimir Georgiev ; Michail Todorov ; Ivan Georgiev. Vol. 728 Springer, 2018. pp. 185-201 (Studies in Computational Intelligence).

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Terziyska, M, Todorov, Y & Dobreva, M 2018, Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation. in K Georgiev, M Todorov & I Georgiev (eds), Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers. vol. 728, Studies in Computational Intelligence, vol. 728, Springer, pp. 185-201, Annual Meeting of the Bulgarian Section of SIAM, Sofia, Bulgaria, 20/12/2016. https://doi.org/10.1007/978-3-319-65530-7_17

Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation. / Terziyska, Margarita; Todorov, Yancho; Dobreva, Maria.
Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers. ed. / Krasimir Georgiev; Michail Todorov; Ivan Georgiev. Vol. 728 Springer, 2018. p. 185-201 (Studies in Computational Intelligence; Vol. 728).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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AU - Terziyska, Margarita

AU - Todorov, Yancho

AU - Dobreva, Maria

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N2 - In this paper the effectiveness of different error metrics for assessment of the capabilities of an advanced fuzzy-neural architecture are studied. The proposed structure combines the potentials of the Intuitionistsc Fuzzy Logic with the simplicity of the Neo-Fuzzy Neuron theory for implementation of robust modeling mechanisms, able to capture uncertain variations in the data space. A major concern when evaluating the performance of such kind of models is the selection of appropriate error metrics in order to assess their potential to capture a wide range of system behaviours. Therefore, different error metrics to evaluate the functional properties of a proposed Intuitionistic Neo-fuzzy network are studied and a comparative analysis in modeling of chaotic time series is made.

AB - In this paper the effectiveness of different error metrics for assessment of the capabilities of an advanced fuzzy-neural architecture are studied. The proposed structure combines the potentials of the Intuitionistsc Fuzzy Logic with the simplicity of the Neo-Fuzzy Neuron theory for implementation of robust modeling mechanisms, able to capture uncertain variations in the data space. A major concern when evaluating the performance of such kind of models is the selection of appropriate error metrics in order to assess their potential to capture a wide range of system behaviours. Therefore, different error metrics to evaluate the functional properties of a proposed Intuitionistic Neo-fuzzy network are studied and a comparative analysis in modeling of chaotic time series is made.

KW - artificial neural network

KW - modeling

KW - efficent metrics

KW - error estimates

U2 - 10.1007/978-3-319-65530-7_17

DO - 10.1007/978-3-319-65530-7_17

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BT - Advanced Computing in Industrial Mathematics

A2 - Georgiev, Krasimir

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A2 - Georgiev, Ivan

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T2 - Annual Meeting of the Bulgarian Section of SIAM

Y2 - 20 December 2016 through 22 December 2016

ER -

Terziyska M, Todorov Y, Dobreva M. Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation. In Georgiev K, Todorov M, Georgiev I, editors, Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers. Vol. 728. Springer. 2018. p. 185-201. (Studies in Computational Intelligence). doi: 10.1007/978-3-319-65530-7_17

Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation

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