Identification of the nonlinear systems based on the kernel functions
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5646
Abstract: Constructing an appropriate membership function is significant in fuzzy logic control. Based on the multi‐model control theory, this article constructs a novel kernel function which can implement the fuzzification and defuzzification processes and reflect the… read more here.
Keywords: systems based; nonlinear systems; identification nonlinear; kernel functions ... See more keywords
Annual and seasonal cycles of CO2 and CH4 in a Mediterranean Spanish environment using different kernel functions
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01655-5
Abstract: AbstractThis paper is based on CO2 and CH4 semi-hourly mole fraction measurements obtained at the Low Atmosphere Research Centre (CIB) between 2010 and 2016 using a Picarro G1301 analyser. The main aims of the study… read more here.
Keywords: term; kernel functions; co2 ch4; different kernel ... See more keywords
Combining the FCM Classifier with Various Kernels to Handle Non-linearity of Class Boundaries
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-018-0813-z
Abstract: This article presents the use of kernel functions in fuzzy classifiers for an efficient land use/land cover mapping. It focuses on handling mixed pixels obtained from a remote sensing image by considering non-linearity between class… read more here.
Keywords: linearity class; kernel functions; non linearity; fcm classifier ... See more keywords
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2018.1474958
Abstract: ABSTRACT Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery by minimum stochastic… read more here.
Keywords: classification; classification polsar; kernel functions; based classification ... See more keywords
Efficient Algorithms for Kernel Aggregation Queries
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3018376
Abstract: Kernel functions support a broad range of applications that require tasks like density estimation, classification, regression or outlier detection. For these tasks, a common online operation is to compute the weighted aggregation of kernel function… read more here.
Keywords: aggregation; mml mml; kernel; kernel functions ... See more keywords
HIV drug resistance prediction with weighted categorical kernel functions
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2991-2
Abstract: BackgroundAntiretroviral drugs are a very effective therapy against HIV infection. However, the high mutation rate of HIV permits the emergence of variants that can be resistant to the drug treatment. Predicting drug resistance to previously… read more here.
Keywords: drug resistance; kernel functions; drug; categorical kernel ... See more keywords
State-of-the-Art Statistical Approaches for Estimating Flood Events
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DOI: 10.3390/e24070898
Abstract: Reliable quantile estimates of annual peak flow discharges (APFDs) are needed for the design and operation of major hydraulic infrastructures and for more general flood risk management and planning. In the present study, linear higher… read more here.
Keywords: nonparametric kernel; flood; kernel functions; state art ... See more keywords