Exploració per tema "ANFIS"
Ara es mostren els items 1-11 de 11
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An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking
(2015-04-07)
Article
Accés obertNamed Data Networking (NDN) is a candidate next-generation Internet architecture designed to overcome the fundamental limitations of the current IP-based Internet, in particular strong security. The ubiquitous in-network ... -
Analysis of am parameters on surface roughness obtained in pla parts printed with fff technology
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-07-02)
Article
Accés obertFused filament fabrication (FFF) 3D printing technology allows very complex parts to be obtained at a relatively low cost and in reduced manufacturing times. In the present work, the effect of main 3D printing parameters ... -
Distributed neuro-fuzzy feature forecasting approach for condition monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialThe industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis schemes based on physical magnitudes acquisition, ... -
Energy performance forecasting of residential buildings using fuzzy approaches
(2020-01-20)
Article
Accés obertThe energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact. ... -
Evolutive ANFIS training for energy load profile forecast for an IEMS in an automated factory
(2011)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper an evolutive algorithm is used to train an adaptative-network-based fuzzy inference system (ANFIS), particularly a genetic algorithm (GA). The GA is able to train the antecedent and consequent parameters of ... -
Fault detection and isolation in wind turbines based on neuro-fuzzy qLPV zonotopic observers
(2023-05)
Article
Accés restringit per política de l'editorialThis article develops a hybrid approach to fault detection and isolation (FDI) based on a machine learning technique and quasi-Linear Parameter Varying (qLPV) zonotopic observers. First, the dynamical model of a wind turbine ... -
Forest fire forecasting using fuzzy logic models
(2021-07-29)
Article
Accés obertIn this study, we explored hybrid fuzzy logic modelling techniques to predict the burned area of forest fires. Fast detection is crucial for successful firefighting, and a model with an accurate prediction ability is ... -
Modeling of Surface Roughness in Honing Processes by Using Fuzzy Artificial Neural Networks
(MDPI, 2023-01-15)
Article
Accés obertHoning processes are abrasive machining processes which are commonly employed to improve the surface of manufactured parts such as hydraulic or combustion engine cylinders. These processes can be employed to obtain a ... -
Modeling of the influence of input am parameters on dimensional error and form errors in pla parts printed with fff technology
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-11-27)
Article
Accés obertAs is widely known, additive manufacturing (AM) allows very complex parts to be manufactured with porous structures at a relatively low cost and in relatively low manufacturing times. However, it is necessary to determine ... -
Multi-objective optimization of tool wear, surface roughness, and material removal rate in finishing honing processes using adaptive neural fuzzy inference systems
(2023-04-01)
Article
Accés obertHoning processes are usually employed to manufacture combustion engine cylinders and hydraulic cylinders. Honing provides a crosshatch pattern that favors the oil flow. In this paper, Adaptive Neural Fuzzy Inference System ... -
Robust fault diagnosis using a data-based approach and structural analysis
(2022)
Article
Accés obertThis paper presents a fault diagnosis approach that combines structural and data-driven techniques. The proposed method involves two phases. As a first step, the residuals structure is obtained from the structural model ...