Results 31 to 40 of about 31,148 (230)

Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]

open access: yes, 2010
The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani   +2 more
core   +1 more source

Adaptive Neuro-Fuzzy Inference System for Traffic Cycle Optimization

open access: yesInternational Journal of Modelling and Simulation, 2004
AbstractAn adaptive neuro-fuzzy approach is employed to optimize the traffic cycle on Al-Rabia signalized intersection in Amman, the capital of Jordan. A structural fuzzy framework is proposed to estimate traffic flow volumes on the intersection using actual traffic counts for four weeks.
‘Awad, Wa’el   +2 more
openaire   +2 more sources

Prediction of queuing length at metering roundabout using adaptive neuro fuzzy inference system

open access: yesMeasurement + Control, 2019
A metering roundabout where traffic is controlled by signals where phase times are influenced by queue detector occupancy may be the solution to reduce queue lengths under unbalanced traffic flows.
Hong Ki An, Ahmed N Abdalla
doaj   +1 more source

A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]

open access: yes, 2015
This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Acampora, G, Cosma, G
core   +1 more source

Improvement of Adaptive Cruise Control System Performance on Sloped Roads Based on Adaptive Neuro-Fuzzy Inference System

open access: yesIEEE Access
Adaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
doaj   +1 more source

Ranfis : Rough Adaptive Neuro-Fuzzy Inference System

open access: yes, 2007
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro – Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has also been described.
Chandana, Sandeep, Mayorga, Rene V.
openaire   +1 more source

Intelligent Pitch Angle Control Based on Gain-Scheduled Recurrent ANFIS [PDF]

open access: yesJournal of Renewable Energy and Environment, 2019
The effective utilization of wind energy conversion system )WECS( is one of the most crucial concerns for the development of renewable energy systems. In order to achieve appropriate wind power, different pitch angle methods are used.
Ehsan Hosseini   +3 more
doaj   +1 more source

Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections

open access: yesApplied Sciences, 2023
In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many advantages of applying intelligent transportation systems in road ...
Isaac Oyeyemi Olayode   +2 more
doaj   +1 more source

ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey

open access: yesInternational Journal of Computer Applications, 2015
paper, we presented the architecture and basic learning process underlying ANFIS (adaptive-network-based fuzzy inference system) which is a fuzzy inference system implemented in the framework of adaptive networks. Soft computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behavior.
Anurag Sharma   +2 more
openaire   +1 more source

Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm [PDF]

open access: yes, 2001
This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system.
Linkens, D. A.   +2 more
core   +1 more source

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