An article introduces a modified architecture of the neo-fuzzy neuron, also known as a"
multidimensional extended neo-fuzzy neuron"(MENFN), for the face recognition problems …

Likert-type scales are commonly used in both academia and industry to capture human
feelings since they are user-friendly, easy-to-develop and easy-to administer. This kind of …

Time-frequency and time dependence of the output signal morphology of nonlinear
oscillator neuron based on Van der Pol model using analytical and numerical methods were …

Temporal clustering (segmentation) for video streams has revolutionized the world of
multimedia. Detected shots are principle units of consecutive sets of images for semantic …

The classification task is one of the most widespread among the tasks of Data Mining-spam
detection, medical diagnosis, ad targeting, risk assessment and image classification …

An adaptive neural system which solves a problem of clustering data with missing values in
an online mode with a permanent correction of restorable table elements and clusters' …

The paper presents the technology of gene expression profiles reducing based on the
complex use of fuzzy logic methods, statistical criteria and Shannon entropy. Simulation of …

The paper presents the technology of gene expression profiles filtering based on the
wavelet analysis methods. A structural block-chart of the wavelet-filtering process, which …

Fuzzy clustering procedures for categorical data are proposed in the paper. Most of well-
known conventional clustering methods face certain difficulties while processing this sort of …

A task of clustering data given in the ordinal scale under conditions of overlapping clusters
has been considered. It's proposed to use an approach based on memberhsip and …