ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers [PDF]
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
doaj +4 more sources
Adaptive Neuro-Fuzzy Inference System for Waste Prediction
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
doaj +2 more sources
Prediction in Photovoltaic Power by Neural Networks [PDF]
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
doaj +3 more sources
ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING [PDF]
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
doaj +1 more source
Response surface methodology and adaptive neuro-fuzzy inference system for adsorption of reactive orange 16 by hydrochar [PDF]
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
doaj +1 more source
Modeling of Tehran South Water Treatment Plant Using Neural Network and Fuzzy Logic Considering Effluent and Sludge Parameters [PDF]
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
doaj +1 more source
Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
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
doaj +1 more source
A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms
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
doaj +1 more source
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
doaj +1 more source
Classification of masses in digital mammograms using Biogeography-based optimization technique
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
doaj +1 more source

