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Search results for: fuzzy network
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Year: 2011, Volume: 11, Number: 4
... in [20]. here, an Adaptive Network-Based Fuzzy Inference Systems Input (ANFIS) classifier is used ... for recognition feature extraction is necessary to fully exploit a neuro-fuzzy of objects exhibiting a sufficient amount of texture. ... ANFIS is Segmented Image motivated by the fact that neural networks are well known Robust Object Segmentation as an alternative ...
Year: 2015, Volume: 15, Number: 1
... /4 switched reluctance motor 6000 RPM using adaptive neural fuzzy inference system," IEEE Trans. Specifics Simulation ... network (ANN) [9-11] or dt adaptive neural-fuzzy inference system (ANFIS) [12-13] to ... 41.07 4.72% estimation for switched reluctance motor using adaptive neuro-fuzzy Output Power (W) 1838 2003 8.23% ...
Year: 2018, Volume: 18, Number: 1
... and Computer Engineering Volume 18, Number 1, 2018 Fuzzy Integral and Cuckoo Search Based Classifier Fusion for Human ... multiple classifiers, an integral operator combines the Algorithm: fuzzyfusion(G, M, A) information from ... 19]. In this work, the g -fuzzy 1. Calculate 2. for each class ...
Year: 2020, Volume: 20, Number: 2
... out as extensions of this work are: analysis using fuzzy modeling to represent inaccurate data, including more optimistic ... Firefly Algorithm Based Optimization Model for Planning of Optical Transport Networks Bruno Quirino de OLIVEIRA1,2, Marcos Antônio ... in order to meet the new traffic requirements. Under network becomes more complex, the efficient use of its ...
Year: 2020, Volume: 20, Number: 3
... Volume 20, Number 3, 2020 Two Types of Fuzzy Logic Controllers for the Speed Control of the Doubly-Fed ... de Magister, Université d'Oran, Algérie. 2010. fuzzy-logic-controller. [36] Al-Rouh. Contribution à la ... sans capteur de la machine [16] Z. Tir, Om.P. Malikb, A.M. Eltamaly, ...
Year: 2024, Volume: 24, Number: 2
... , integrity, risk of disclosure. They used a fuzzy classification technique authenticity, and confidentiality aspects of communication ... generation of a dataset and the decision trees, neural networks, and support vector machines implementation of the Cockroach ... Engineering Volume 24, Number 2, 2024 Enhancing V2G Network Security: A Novel Cockroach Behavior-Based Machine Learning Classifier ...
Year: 2024, Volume: 24, Number: 2
... the problem of fault location. A specific IEEE standard fuzzy logics or ANN. regarding this issue has been ... final customers is also Floyd-Warshall algorithm [13] or Fuzzy-ARTMAP [14] to sometimes a good indication of ... Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature Almir Laranjeira NERI ...
Year: 2021, Volume: 21, Number: 3
... 95.40- No No Homem et.al. [16] Fuzzy C-Means 96.00 No No Ahmed et al. [ ... to Authoritative Name Server network-based system is proposed on live networks to prevent the common DNS tunneling threats over DNS ... in Fig. 1. Networks trained with various deep network topologies by 4. To ensure efficient address resolution ...
Year: 2019, Volume: 19, Number: 3
... Computer Engineering Volume 19, Number 3, 2019 A Fuzzy AHP Approach for Security Risk Assessment in SCADA Networks ... D. MARKOVIC-PETROVIC1, Mirjana D. STOJANOVIC2, Slavica V. BOSTJANCIC RAKAS3 1 Public Enterprise Electric Power Industry ... ALE), and simultaneous distributed attacks on the SCADA network Return on Security Investment (ROSI). Qualitative ...
Year: 2017, Volume: 17, Number: 4
... least k-times and such degree sequence is mining approach using fuzzy logic, neural networks[12- 15] ... network is represented as an undirected graph and it Social networks have gained popularity among people reveals much useful information ... , Number 4, 2017 k-Degree Anonymity Model for Social Network Data Publishing Kamalkumar R. MACWAN, Sankita J ...
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