A Neuro-Fuzzy Approach in the Prediction of Financial Stability and Distress Periods [PDF]
The purpose of this paper is to present a neuro-fuzzy approach of financial distress pre-warning model appropriate for risk supervisors, investors and policy makers.
Giovanis, eleftheios
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Neuro-fuzzy system with weighted attributes [PDF]
Soft Computing, 2013 The paper presents the neuro-fuzzy system with weighted attributes. Its crucial part is the fuzzy rule base composed of fuzzy rules (implications). In each rule the attributes have their own weights. In our system the weights of the attributes are numbers from the interval [0, 1] and they are not global: each fuzzy rule has its own attributes' weights,
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A Data-Driven Approach of Takagi-Sugeno Fuzzy Control of Unknown Nonlinear Systems
Applied Sciences, 2020 A novel approach to build a Takagi-Sugeno (T-S) fuzzy model of an unknown nonlinear system from experimental data is presented in the paper. The neuro-fuzzy models or, more specifically, fuzzy basis function networks (FBFNs) are trained from input–output
Bin Zhang, Yung C. Shin
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Fruit production forecasting by neuro-fuzzy techniques [PDF]
Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems.
Atsalakis, George S. +1 more
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Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control [PDF]
, 2014 Nonlinear systems have more complex manner and profoundness than linear systems.Thus, their analyses are much more difficult.This paper presents the use of neuro-fuzzy networks as means of implementing algorithms suitable for nonlinear black-box ...
Al-Himyari, Bayadir Abbas +2 more
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Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors
Majlesi Journal of Electrical EngineeringThe purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj
Neuro-fuzzy system based proportional derivative gain optimized attitude control of CubeSat under LEO perturbations. [PDF]
Heliyon, 2023 Shehzad MF +4 more
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SYNTHESIS OF NEURO-FUZZY NETWORK FOR STABILIZING TEMPERATURE IN PROCESS OF CONTINUOUS STERILIZATION
Вестник Северо-Кавказского федерального университета, 2022 To synthesize a neuro-fuzzy network of stabilizing temperature there is a view on the development of a base of rules for a fuzzy controller taking into account the optimal object management and training of a hybrid neural network.
Elena Valerievna Lubentsova
doaj
Takagi-Sugeno Neuro-Fuzzy Modeling of a Multivariable Nonlinear Antenna System
The Journal of Engineering Research, 2005 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 ...
E. A. Al-Gallaf
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Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey. [PDF]
Artif Intell Rev, 2023 Talpur N +5 more
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