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Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

2017
It has always been important to anticipate the demand for a product. To determine the demand for any product, the parameters such as the economic situation and the demands of the rival products are used generally. Especially in the housing sector, which is the locomotive sector for emerging countries, it is critical to anticipate housing demand and its
Olgun Aydin, Elvan Aktürk Hayat
openaire   +1 more source

Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Applied Mechanics and Materials, 2015
The paper is dedicated to analyze the modern expert systems to assess the technical condition of power stations and substations high-voltage equipment. The main problems of modern expert systems and their possible solutions are determined. As the structure and their basic construction principles are considered. Also this paper proposes an algorithm for
Alexandra Khalyasmaa   +2 more
openaire   +1 more source

MCMI-ANFIS: A robust multi class multiple instance Adaptive Neuro-Fuzzy Inference System

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
Fuzzy logic is a powerful tool to model knowledge uncertainty, measurements imprecision, and vagueness. However, there is another type of vagueness that arises when data have multiple forms of expression. This is the case for multiple instance learning problems (MIL). In MIL, an object is represented by a collection of instances, called a bag.
Amine Ben Khalifa, Hichem Frigui
openaire   +1 more source

Development of an Adaptive Neuro-fuzzy Inference System (ANFIS) for Predicting Pavement Deterioration

Sustainable Intelligent Infrastructure
Pavement maintenance is a critical aspect of transportation and infrastructure management, as it directly impacts traffic flow, vehicle maintenance, safety and accident rate. Effective prediction and prevention of pavement deterioration are essential for optimizing pavement maintenance strategies, reducing cost, and ensuring the lifespan or longevity ...
Jesam Abam Ujong   +8 more
openaire   +1 more source

Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources

2019
Adaptive neuro-fuzzy inference system (ANFIS) has gained prominence in solving engineering problems over the past two decades. It has incredible ability to generalize for complex non-linear systems efficiently when used alone and more when trained with a hybrid technique. However, less is known about its strengths and peculiarities for effective use in
P. A. Adedeji   +3 more
openaire   +1 more source

Comparative evaluation of adaptive fuzzy inference system and adaptive neuro-fuzzy inference system for mandatory lane changing decisions on freeways

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022
Matthew Vechione, Ruey Long Cheu
exaly  

Adaptive neuro-fuzzy inference system (ANFIS) for fault classification in power lines

2019
This article discusses the use of adaptive neuro-fuzzy inference system (ANFIS) for the classification of faults in power lines. This issue will be clearly addressed in this report. ANFIS can be thought of as a fuzzy system, neural network, or fuzzy neural network (FNN).
openaire   +1 more source

ANFIS (Adaptive Neuro-Fuzzy Inference System) based on Microgrid’s Reliability and Availability

2022 IEEE 10th Power India International Conference (PIICON), 2022
Geeta Yadav   +3 more
openaire   +1 more source

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