ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers [PDF]
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
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IMAGE DATA CLASSIFICATION BY NFES-MODEL [PDF]
Jurnal Informatika, 2008 In this paper, we propose an identification method of the land cover from remote sensing data with combining neuro-fuzzy and expert system. This combining then is called by Neuro-Fuzzy Expert System Model (NFES-Model).
M. Givi Efgivia, Safaruddin A. Prasad
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Mehran University Research Journal of Engineering and Technology, 2022 Controlling an uncertain mechatronic system is challenging and crucial for its automation. In this regard, several control-strategies are developed to handle such systems.
Muhammad Khurram Saleem +4 more
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Prediction in Photovoltaic Power by Neural Networks [PDF]
, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa +3 more
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Classification of masses in digital mammograms using Biogeography-based optimization technique
Journal of King Saud University: Computer and Information Sciences, 2020 Breast cancer is a leading cause of death in women in both developed and developing countries. Design and development of computer-based systems can assist radiologists in the effective treatment of breast cancer.
Shankar Thawkar, Ranjana Ingolikar
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Neuro-fuzzy control of sit-to-stand motion using head position tracking
Measurement + Control, 2020 Based on the clinical evidence that head position measured by the multisensory system contributes to motion control, this study suggests a biomechanical human-central nervous system modeling and control framework for sit-to-stand motion synthesis ...
Samina Rafique +3 more
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Neuro-Fuzzy Computing System with the Capacity of Implementation on Memristor-Crossbar and Optimization-Free Hardware Training [PDF]
, 2012 In this paper, first we present a new explanation for the relation between logical circuits and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks and fuzzy inference systems.
Merrikh-Bayat, Farnood +2 more
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Klasifikasi Kinerja Pegawai Universitas X dengan pendekatan Neuro-Fuzzy
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2018 —classification of employee performance of university x is the basis of policy recommendation of career system, this is done every year with certain method, the use of this method to estimate classification of employee performance still have high ...
Ronald Dwi Nompunu +2 more
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Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods [PDF]
PeerJ, 2020 This paper investigates the capabilities of the evolutionary fuzzy genetic (FG) approach and compares it with three neuro-fuzzy methods—neuro-fuzzy with grid partitioning (ANFIS-GP), neuro-fuzzy with subtractive clustering (ANFIS-SC), and neuro-fuzzy ...
Abolghasem Sadeghi-Niaraki +2 more
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Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network [PDF]
Engineering and Technology Journal, 2015 Modern power systems are complex and non-linear and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to control non-linear dynamic systems through learning, which can easily ...
Abdulrahim Thiab Humod +1 more
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