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57.835  Articles
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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

Currently, there is growing interest in the modeling of high concentrator photovoltaic modules, due to the importance of achieving an accurate model, to improve the knowledge and understanding of this technology and to promote its expansion. In recent yea... see more

Nowadays, artificial intelligence has entered into all spheres of our life. The system of analysis of the electronic environment is not an exception. However, there are a number of problems in the analysis of the electronic environment, namely the signals... see more

Nowadays, artificial intelligence has entered into all spheres of human activity. However, there are some problems in the analysis of objects, for example, there is a priori uncertainty about the state of objects and the analysis takes place in a difficul... see more

A neuro-fuzzy based improved internal model control (I-IMC) is proposed for speed control of uncertain nonlinear heavy duty vehicle (HDV) as the standard IMC (S-IMC) can’t tackle the nonlinear systems effectively and degrades the performance of ... 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

Abstrak.    Telah   dilakukan   identifikasi   data  ultrasonografi    tumor  payudara   dengan  menggunakan Adaptive NeuroFuzzy InferenceSystem  (ANFIS).  Untu... see more

An evolving cascade system based on fuzzy-neurons and its learning procedures are proposed in the paper. During a learning procedure inan online mode, the proposed system tunes both its parameters and its architecture. Neuro-fuzzy systems are proposed as ... 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

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