A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems-Reference-Cited by-同舟云学术

A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems

Published:2006-05 Issue:1 Volume:115 Page:252-262
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Gulbag Ali,Temurtas Fevzullah

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference36 articles.

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