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48.327  Articles
1 of 4.834 pages  |  10  records  |  more records»
The article deals with the problem of planning resources of parallel computer systems for the synthesis of neuro-fuzzy networks. Theobject of research is a process of synthesis of neuro-fuzzy models. The subject of research are the methods of resource pla... see more

Context. The task of automation of diagnostic models synthesys in diagnostics and pattern recognition problems is solved. Theobject of the research are the methods of the neuro-fuzzy diagnostic models synthesys. The subject of the research are the methods... see more

Context. The research of the actual problem of development of models and methods of multicriteria evaluation using neurofuzzytechnologies is carried out.The purpose of this work is to develop a model for obtaining an aggregate evaluation of the significan... see more

The process of creating the mathematical model by the neurofuzzy modeling is described. The stages of construction of the fuzzy model to evaluating the level of biocomfort of habitation are considered.

The problem of neuro-fuzzy approximator constructing has been solved with the aim to automate the construction of numerical models of quantitative relationships. The neuro-fuzzy network model and method of synthesis are proposed. It allows to build a neur... see more

This article investigates the use of a clustered based neuro-fuzzy system to nonlinear dynamic system modeling. It is focused on the modeling via Takagi-Sugeno (T-S) modeling procedure and the employment of fuzzy clustering to generate suitable initial me... see more

The problem of model synthesis automation for pattern classification on the features is solved. The method of neuro-fuzzy modelsynthesis on precedents is proposed. It is able to construct completely defined neural models based on the regular partition of ... see more

The problem of automation synthesis of neuro-fuzzy networks for diagnostics and automatic classification on features is solved. Themethod of neuro-fuzzy model synthesis on precedents is proposed.It evaluates the relationship of input features, extracts re... 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 4.834 pages  |  10  records  |  more records»