Results 171 to 180 of about 6,479 (185)
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Journal of Intelligent & Fuzzy Systems, 2021
How to more effectively perform anomaly detection of combination information has always been an important issue for the scholars in various fields. In order to identify and extract the geochemical anomaly information related to polymetallic mineralization in the Hunjiang area, this article uses the hybrid method that combines multivariate canonical ...
Cao, Mengxue, Lu, Laijun, Zhong, Yu
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How to more effectively perform anomaly detection of combination information has always been an important issue for the scholars in various fields. In order to identify and extract the geochemical anomaly information related to polymetallic mineralization in the Hunjiang area, this article uses the hybrid method that combines multivariate canonical ...
Cao, Mengxue, Lu, Laijun, Zhong, Yu
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MULTIVARIATE FUZZY-TERMED DATA ANALYSIS: ISSUES AND METHODS
FUZZY ECONOMIC REVIEW, 2001Abstracting the signification from an amorphous conglomerate of data requires appropriate techniques for making patent some latent cognitive structures. This paper is devoted to the challenging case when fuzzy-termed data occur in a survey. The fuzzy paradigm is inherently assumed, but the representation formalism related to it induces a higher ...
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Fuzzy Sets and Systems, 1999
For controlling an unknown nonlinear dynamical system, a fuzzy direct control scheme is presented. Using If-Then rules, fuzzy systems are constructed to perform the estimates of the unknown functions. In the ideal case of parametric uncertainties without considering the unmodeled dynamics, a fuzzy adaptive controller is given, and the stability of the ...
Tong, Shaocheng, Chai, Tianyou
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For controlling an unknown nonlinear dynamical system, a fuzzy direct control scheme is presented. Using If-Then rules, fuzzy systems are constructed to perform the estimates of the unknown functions. In the ideal case of parametric uncertainties without considering the unmodeled dynamics, a fuzzy adaptive controller is given, and the stability of the ...
Tong, Shaocheng, Chai, Tianyou
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1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2002
Presents the analyses of the stability and robustness of multivariable continuous-time nonlinear systems subject to parameter uncertainties and with digital fuzzy controllers. To proceed with the analysis, first, an uncertain multivariable nonlinear plant is represented by a fuzzy plant model with parameter uncertainties.
H.K. Lam, F.H.F. Leung, P.K.S. Tam
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Presents the analyses of the stability and robustness of multivariable continuous-time nonlinear systems subject to parameter uncertainties and with digital fuzzy controllers. To proceed with the analysis, first, an uncertain multivariable nonlinear plant is represented by a fuzzy plant model with parameter uncertainties.
H.K. Lam, F.H.F. Leung, P.K.S. Tam
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ETFA '94. 1994 IEEE Symposium on Emerging Technologies and Factory Automation. (SEIKEN) Symposium) -Novel Disciplines for the Next Century- Proceedings, 2002
The authors propose a system which can automatically learn causal relation for multivariate complex problems by use of fuzzy inference and genetic algorithm. It has been difficult to infer the correct results from a lot of input variables by using only the fuzzy inference.
A. Itagaki +4 more
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The authors propose a system which can automatically learn causal relation for multivariate complex problems by use of fuzzy inference and genetic algorithm. It has been difficult to infer the correct results from a lot of input variables by using only the fuzzy inference.
A. Itagaki +4 more
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2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2019
The results of the investigation of a hybrid model for short-term speculation of daily active energy consumption graphs in Moscow based on the Multivariate Singular Spectrum Analysis method (MSSA) and the neural fuzzy network (NFN) are presented taking into account factual and speculative data of air temperature and daylight illumination.
I. I Nadtoka, S.A. Vyalkova
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The results of the investigation of a hybrid model for short-term speculation of daily active energy consumption graphs in Moscow based on the Multivariate Singular Spectrum Analysis method (MSSA) and the neural fuzzy network (NFN) are presented taking into account factual and speculative data of air temperature and daylight illumination.
I. I Nadtoka, S.A. Vyalkova
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Building and Environment, 2020
Abstract Computational cost poses a major obstacle to the design of indoor environments with the current optimal method and computational fluid dynamics (CFD). A novel optimization method integrating a genetic algorithm (GA), an artificial neural network (ANN), multivariate regression analysis (MRA), and a fuzzy logic controller (FLC) was proposed in
Tianhu Zhang +4 more
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Abstract Computational cost poses a major obstacle to the design of indoor environments with the current optimal method and computational fluid dynamics (CFD). A novel optimization method integrating a genetic algorithm (GA), an artificial neural network (ANN), multivariate regression analysis (MRA), and a fuzzy logic controller (FLC) was proposed in
Tianhu Zhang +4 more
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Measurement, 2015
Abstract Thermal conductivity is an important property of rocks which is considered for energy-efficient building construction. This paper is aimed to predict the thermal conductivity of rocks utilizing the adaptive neuro-fuzzy inference system (ANFIS) and multivariate regression (MVR) analysis.
Hassani, Mohsen +3 more
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Abstract Thermal conductivity is an important property of rocks which is considered for energy-efficient building construction. This paper is aimed to predict the thermal conductivity of rocks utilizing the adaptive neuro-fuzzy inference system (ANFIS) and multivariate regression (MVR) analysis.
Hassani, Mohsen +3 more
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2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141), 2002
The paper addresses the issue of performance optimisation of a MIMO fuzzy controller for a gas turbine aero-engine. The proposed method attempts to improve the performance of the controller by looking at the accuracy of the input-output mapping of the control parameters.
B. Bica +3 more
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The paper addresses the issue of performance optimisation of a MIMO fuzzy controller for a gas turbine aero-engine. The proposed method attempts to improve the performance of the controller by looking at the accuracy of the input-output mapping of the control parameters.
B. Bica +3 more
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2001
Abstract : This study develops a set of decision-making tools to be used by the Navy, commercial and private enterprise to select and classify recruits and/or employees. As an addition to or potential replacement for the current Navy selection and classification process, this process utilizes current research in the latest decision support techniques ...
Steven R. Hanna +2 more
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Abstract : This study develops a set of decision-making tools to be used by the Navy, commercial and private enterprise to select and classify recruits and/or employees. As an addition to or potential replacement for the current Navy selection and classification process, this process utilizes current research in the latest decision support techniques ...
Steven R. Hanna +2 more
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