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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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Energies, 2021 Circulating Fluidized Bed gasifiers are widely used in industry to convert solid fuel into liquid fuel. The Artificial Neural Network and neuro-fuzzy algorithm have immense potential to improve the efficiency of the gasifier.
Aamer Bilal Asghar +4 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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Energy Exploration & Exploitation, 2022 Wind energy has been developed and is widely used as a clean and renewable form of energy. Among the existing variety of wind turbines, variable-speed variable-pitch wind turbines have become popular owing to their variable output power capability.
Ya-Jun Fan, Hai-tong Xu, Zhao-Yu He
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Energies, 2023 This paper compares the performance of different control techniques applied to a high-performance brushless DC (BLDC) motor. The first controller is a classical proportional integral (PI) controller. In contrast, the second one is based on adaptive neuro-
Abdessamad Intidam +6 more
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