Neuro-fuzzy model for evaluating the performance of processes using transfer function-Reference-Cited by-同舟云学术

Neuro-fuzzy model for evaluating the performance of processes using transfer function

Published:2017-11-16 Issue:12 Volume:42 Page:2055-2065
ISSN:0256-2499
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

NWOBI-OKOYE CHIDOZIE CHUKWUEMEKA

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/article/10.1007/s12046-017-0744-3/fulltext.html

Reference24 articles.

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2. Igboanugo A C and Nwobi-Okoye C C 2012 Transfer function modelling as a tool for solving manufacturing system dysfunction. Res. J. Appl. Sci. Eng. Technol. 4(23): 4948–4953

3. Igboanugo A C and Nwobi-Okoye C C 2011 Production process capability measurement and quality control using transfer functions. J. Nigerian Assoc. Math. Phys. 19(1): 453–464

4. Lai P 1979 Transfer function modelling relationship between time series variables. Concepts and Techniques in Modern Geography (CATMOG), London School of Economics, No. 22

5. Nwobi-Okoye C C 2017 Transfer function based performance assessment of power distribution facilities: a case study of distribution transformers. J. Electr. Syst. Inf. Technol. https://dx.doi.org/10.1016/j.jesit.2016.12.001

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2. Modelling the performance of single-input–single-output (SISO) processes using transfer function and fuzzy logic;OPSEARCH;2020-05-20

3. Notes on procedure for the development of fuzzy rules in SCOP methodology;Sādhanā;2019-02