Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

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. toim. / Krasimir Georgiev; Michail Todorov; Ivan Georgiev. Vuosikerta 728 2018. s. 185-201 (Studies in Computational Intelligence; Vuosikerta 728).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Terziyska, M, Todorov, Y & Dobreva, M 2018, Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation. julkaisussa K Georgiev, M Todorov & I Georgiev (toim), Advanced Computing in Industrial Mathematics: 11th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2016, Sofia, Bulgaria. Revised Selected Papers. Vuosikerta. 728, Studies in Computational Intelligence, Vuosikerta. 728, Sivut 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

APA

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

Vancouver

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

Author

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. Toimittaja / Krasimir Georgiev ; Michail Todorov ; Ivan Georgiev. Vuosikerta 728 2018. Sivut 185-201 (Studies in Computational Intelligence).

Bibtex - Lataa

@inbook{9be86bd54966465dac03d8173505ed4c,
title = "Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation",
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.",
keywords = "artificial neural network, modeling, efficent metrics, error estimates",
author = "Margarita Terziyska and Yancho Todorov and Maria Dobreva",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-319-65530-7_17",
language = "English",
isbn = "978-3-319-65529-1",
volume = "728",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "185--201",
editor = "Georgiev, {Krasimir } and Michail Todorov and Georgiev, {Ivan }",
booktitle = "Advanced Computing in Industrial Mathematics",

}

RIS - Lataa

TY - CHAP

T1 - Efficient Error Based Metrics for Fuzzy-Neural Network Performance Evaluation

AU - Terziyska, Margarita

AU - Todorov, Yancho

AU - Dobreva, Maria

PY - 2018/1/1

Y1 - 2018/1/1

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

M3 - Chapter

SN - 978-3-319-65529-1

VL - 728

T3 - Studies in Computational Intelligence

SP - 185

EP - 201

BT - Advanced Computing in Industrial Mathematics

A2 - Georgiev, Krasimir

A2 - Todorov, Michail

A2 - Georgiev, Ivan

ER -

ID: 13371067