Journal ArticleDOI
Neuro-fuzzy TSK network for calibration of semiconductor sensor array for gas measurements
TLDR
The neuro-fuzzy network applying Takagi-Sugeno-Kang (TSK) fuzzy reasoning for the calibration of the semiconductor sensor array is developed and tested on the example of estimation of the concentration of gas components in the gaseous mixture.Abstract:
The neuro-fuzzy network applying Takagi-Sugeno-Kang (TSK) fuzzy reasoning for the calibration of the semiconductor sensor array is developed in this paper. The structure, as well as the learning algorithm of the neuro-fuzzy network, is presented and tested on the example of estimation of the concentration of gas components in the gaseous mixture (so-called artificial nose problem). The results of numerical experiments are presented and discussed.read more
Citations
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I and i
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Book
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
TL;DR: Modelling Issue in Fault Diagnosis, Locally Recurrent Neural Networks, and Stability and Stabilization of Locally recurrent Networks.
Journal ArticleDOI
Decision tree approach for classification and dimensionality reduction of electronic nose data
Junghwan Cho,Pradeep Kurup +1 more
TL;DR: A decision tree could be a promising technique for a pattern recognition system for EN data in terms of two functions; as classifier which is an optimally organized classification tree, and as dimensionality reduction method for other pattern recognition techniques.
Journal ArticleDOI
Towards Versatile Electronic Nose Pattern Classifier for Black Tea Quality Evaluation: An Incremental Fuzzy Approach
Bipan Tudu,A. Metla,B. Das,Nabarun Bhattacharyya,Arun Jana,Devdulal Ghosh,Rajib Bandyopadhyay +6 more
TL;DR: The proposed incremental-learning fuzzy model promises to be a versatile pattern classification algorithm for black tea grade discrimination using electronic nose and has been tested in some tea gardens of northeast India, and encouraging results have been obtained.
Journal ArticleDOI
Detection of Fungi and Oomycetes by Volatiles Using E-Nose and SPME-GC/MS Platforms.
Jérémie Loulier,François Lefort,Marcin Stocki,Monika Asztemborska,Rafal Szmigielski,Krzysztof Siwek,Tomasz Grzywacz,Tom Hsiang,Sławomir Ślusarski,Tomasz Oszako,Marcin Klisz,Rafał Tarakowski,Justyna A. Nowakowska +12 more
TL;DR: Preliminary results of fungal and oomycete detection make the e-nose device suitable for further sensor design as a potential tool for forest managers, other plant managers, as well as regulatory agencies such as quarantine services.
References
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Journal ArticleDOI
I and i
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Book
Adaptive Fuzzy Systems and Control: Design and Stability Analysis
TL;DR: This paper presents a meta-analysis of the design and stability analysis of fuzzy identifiers of nonlinear dynamic systems fuzzy adaptive filters of adaptive fuzzy controllers using input-output linearization concepts.
Book
Essentials of Fuzzy Modeling and Control
TL;DR: Essentials of Fuzzy Modeling and Control follows a logical, pedagogically consistent format designed to fully acquaint readers with the entire range of fuzzy concepts, tools, and modeling techniques.