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 …

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' …

This paper proposes an architecture and learning algorithms for a cascade neo-fuzzy
system based on pools of extended neo-fuzzy neurons. The proposed system is different …

Adaptive decayed brain emotional learning (ADBEL) network is recently proposed for the
online time series forecasting problems. As opposed to other popular learning networks …

Fuzzy Clustering Data Given in the Ordinal Scale Page 1 Fuzzy Clustering Data Given in
the Ordinal Scale Zhengbing Hu School of Educational Information Technology, Central …

Industrial process monitoring and modeling represent a critical step in order to achieve the
paradigm of zero defect manufacturing. The aim of this paper is to introduce the neo-fuzzy …

Nowadays, intensive streams of fuzzy input data need to be processed in real-time for
different fields of science and engineering. To solve this problem, a generalized model for …

A hybrid neuro-fuzzy system that combines different concepts like Deep Learning, Group
Method of Data Handling and Evolving Systems is offered in this work. It's also proposed to …

An architecture and learning methods for deep neural networks that increase a number of
layers and adjust their synaptic weights in an online mode are proposed in the article. The …