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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Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System [PDF]
Applied Sciences, 2021 Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical ...
Yunhui Luo +3 more
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Prediction in Photovoltaic Power by Neural Networks [PDF]
Energies, 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
Antonello Rosato +3 more
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Adaptive Neuro-Fuzzy Inference System for Waste Prediction
Knowledge Engineering and Data Science, 2022 The volume of landfills that are increasingly piled up and not handled properly will have a negative impact, such as a decrease in public health. Therefore, predicting the volume of landfills with a high degree of accuracy is needed as a reference for ...
Haviluddin Haviluddin +5 more
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ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING [PDF]
Journal of Engineering Science and Technology, 2016 Soft computing is commonly used as a modelling method in various technological areas. Methods such as Artificial Neural Networks and Fuzzy Logic have found application in manufacturing technology as well. NeuroFuzzy systems, aimed to combine the benefits
ANGELOS P. MARKOPOULOS +3 more
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Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar [PDF]
Global Journal of Environmental Science and Management, 2023 BACKGROUND AND OBJECTIVES: The prediction models, response surface methodology and adaptive neuro-fuzzy inference system are utilized in this study. This study delves into the removal efficiency of reactive orange 16 using hydrochar derived from the ...
J. Oliver Paul Nayagam, K. Prasanna
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Modeling of Tehran South Water Treatment Plant Using Neural Network and Fuzzy Logic Considering Effluent and Sludge Parameters [PDF]
Numerical Methods in Civil Engineering, 2021 The disposal of sewage with acceptable qualitative characteristics to different acceptor resources is an environmental issue that today's societies face (with).
Nasser Mehrdadi, Mehrdad Ghasemi
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Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
IET Communications, 2021 The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter.
Hala B. Nafea +2 more
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A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms
Frontiers in Environmental Science, 2022 Predicting the amount of sediment in water resource projects is one of the most important measures to be taken, while sediments have an unknown nature in their behavior.
Hojat Karami +11 more
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Computer State Evaluation Using Adaptive Neuro-Fuzzy Inference Systems
Sensors, 2022 Several crucial system design and deployment decisions, including workload management, sizing, capacity planning, and dynamic rule generation in dynamic systems such as computers, depend on predictive analysis of resource consumption. An analysis of the computer components’ utilizations and their workloads is the best way to assess the performance of ...
Abror Buriboev, Azamjon Muminov
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