Results 181 to 190 of about 9,592 (232)
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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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Communications in Soil Science and Plant Analysis, 2020
Delineation of site-specific nutrient management zones (MZ) provides a basis for practical and cost-effective management of spatial soil fertility in precision agriculture.
Rodrigo Nogueira Martins +6 more
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Delineation of site-specific nutrient management zones (MZ) provides a basis for practical and cost-effective management of spatial soil fertility in precision agriculture.
Rodrigo Nogueira Martins +6 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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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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Journal of Environmental Management, 2019
Understanding spatial patterns of forest fire is of key important for fire danger management and ecological implication. This aim of this study was to propose a new machine learning methodology for analyzing and predicting spatial patterns of forest fire
D. Tien Bui +2 more
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Understanding spatial patterns of forest fire is of key important for fire danger management and ecological implication. This aim of this study was to propose a new machine learning methodology for analyzing and predicting spatial patterns of forest fire
D. Tien Bui +2 more
semanticscholar +1 more source
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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SPIE Proceedings, 2009
The soil organic matter is one of the important criterions of soil fertility. Mapping and dating soil organic matter is of great importance in soil use and evaluation. In this paper we compare two measures of multivariate statistical analysis (MSA) and fuzzy recognition algorithm (FRA) for quantitative mapping soil organic matter content using ...
Jian Wu +4 more
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The soil organic matter is one of the important criterions of soil fertility. Mapping and dating soil organic matter is of great importance in soil use and evaluation. In this paper we compare two measures of multivariate statistical analysis (MSA) and fuzzy recognition algorithm (FRA) for quantitative mapping soil organic matter content using ...
Jian Wu +4 more
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