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Resilient modulus descriptive analysis and estimation for fine-grained soils using multivariate and machine learning methods

International Journal of Pavement Engineering, 2021
The adoption of mechanistic-empirical approach to pavement design requires the use of resilient modulus of subgrade soils as a crucial input. The determination of in the laboratory is inexpedient due to the nature of the existing test protocols.
C. C. Ikeagwuani   +2 more
semanticscholar   +1 more source

Fuzzy indirect adaptive control and robustness analysis for unknown multivariable nonlinear systems

Proceedings of 6th International Fuzzy Systems Conference, 2002
In this paper, we deal with the problem of controlling an unknown nonlinear dynamical system that is modeled by fuzzy logic systems. In the ideal case of complete model matching, convergence of the state of zero plus boundedness of all signals in the closed loop system is ensured. Moreover, the robustness of the controller designed in the ideal case is
null Tong Shaocheng   +2 more
openaire   +1 more source

Interpreting patterns and analysis of acute leukemia gene expression data by multivariate fuzzy statistical analysis

Computers & Chemical Engineering, 2005
DNA microarray technologies, which monitor simultaneously, the expression pattern of thousands of individual genes in different biological systems have resulted in a tremendous increase of the amount of available gene expression data and have provided new insights into gene expression during development, within disease processes, and across species ...
Yoo, CK, Lee, IB, Vanrolleghem, PA
openaire   +2 more sources

On Multivariate Fuzzy Time Series Analysis and Forecasting

2002
In this paper, we propose an integrated procedure for multivariate fuzzy time series modeling and its theory structure through fuzzy relation equations in this research. Combining the data of closing price and trading volume, we apply this method to construct multivariate fuzzy time series model for Taiwan Weighted Stock Index and forecast future trend
Wu, Berlin, Hsu, Yu-Yun
openaire   +1 more source

Research on optimal multivariate thermal error modeling based on finite-element analysis

Proceedings of the Institution of mechanical engineers. Part E, journal of process mechanical engineering, 2023
To improve the nonlinear fitting ability of multiple linear regression model in thermal error prediction of machine tools, an optimized thermal error modeling method based on test and simulation is proposed in this paper.
Liang Peng   +3 more
semanticscholar   +1 more source

Fuzzy-valued and complex-valued time series analysis using multivariate and complex extensions to singular spectrum analysis

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
This paper provides evidence for the effectiveness of two extensions of Singular Spectrum Analysis, Complex SSA (CSSA) and Multivariate SSA (MSSA), when performing tasks such as smoothing, change point detection and forecasting of time series. CSSA is well suited for bivariate time series (usually displaying co-movements) and interval-valued time ...
Vasile Georgescu, Sorin-Manuel Delureanu
openaire   +1 more source

MULTIVARIATE COGNITIVE ANALYSIS OF PROTECTING THE OBJECTS OF CULTURAL AND HISTORICAL HERITAGE IN RUSSIA

RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, 2023
This article studies the issue of preserving the cultural and historical heritage of Russian cities in the face of a significant expansion of the range of threats, changes in the conditions of financing and economic activity. Analysis and ranking of risk
Evgenii N. Nadezhdin
semanticscholar   +1 more source

Application of multivariate canonical harmonic trend analysis, singularity analysis with radius-areal metal amount and improved adaptive fuzzy self-organizing mapping to identify geochemical anomaly related to iron polymetallic mineralization in Hunjiang district, Northeastern China

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
openaire   +1 more source

MULTIVARIATE FUZZY-TERMED DATA ANALYSIS: ISSUES AND METHODS

FUZZY ECONOMIC REVIEW, 2001
Abstracting 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 ...
openaire   +1 more source

Direct adaptive control and robust analysis for unknown multivariable nonlinear systems with fuzzy logic systems

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
openaire   +1 more source

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