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35.576  Articles
1 of 3.559 pages  |  10  records  |  more records»
A forecasting neuro-fuzzy network designated for solving extrapolation tasks of multidimensional nonlinear non-stationary stochastic and chaotic time series under conditions of a short learning sample is proposed in the paper. The network is built wi... see more

Context. The article is devoted to the problem of a training data set forming for the automatic human emotions recognitionsystem on the basis of a multidimensional extended neo-fuzzy neuron. The aspects of choice the attributes vector’s dimension andcompo... see more

The paper describes a modification of the neo-fuzzy neuron called as «extended neo-fuzzy neuron» (ENFN) that characterized by improved approximating properties. The adaptive learning algorithm for ENFN is proposed, that has both following and smoothing pr... see more

Context. A task of data classification under conditions of clusters’ overlapping is considered in this article. Besides that, it’s assumedthat information to be processed is given in the rank scale.Objective. It’s proposed to use a double neo-fuzzy neuron... see more

The aim of this paper is to develop a novel multidimensional stochastic Fuzzy Logic System (msFLS) based on normal probability density function to generate multi training patterns of each quality characteristic and used by a neural network. The approach p... see more

Mining association rules is one of the important tasks in the process of data mining application. In general, the input as used in the process of generating rules is taken from a certain data table by which all the corresponding values of every domain dat... see more

Association rules that involve two or more dimensions or predicates can be referred as multidimensional association rules. Rather than searching for frequent itemsets (as is done in mining single-dimensional association rules), in multidimensional associa... see more

This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve a lo... see more

This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve a lo... see more

1 of 3.559 pages  |  10  records  |  more records»