adaptive neuro-fuzzy networks
Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization
... Neuro-fuzzy networks (NFNs) have been demonstrated to be successful [1]-[9]. Two typical types of NFNs are the Mamdani-type and TSK-type models. In Mamdani- type NFNs [3]-[4], the minimum ...
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Vol 10, No 2 (2018)
... these networks are very susceptible to numerous ...an Adaptive Neuro Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) for mobile ad hoc networks to detect the black ...
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A Hybrid Edge Detection Algorithm for Salt- and-Pepper Noise
... a neuro-fuzzy network (nf), an adaptive median filter and four identical neural networks ...of networks are adaptively adjusted by training. Training of the networks is performed ...
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Comparison of Artificial Intelligence Techniques for river flow forecasting
... of Adaptive Neuro Fuzzy Inference Sys- tem (ANFIS) and Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural Networks (FFNN), ...
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Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
... An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy ...
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Control of Non Linear Two Mass Drive System using ANFIS
... neural networks and fuzzy logic, Adaptive neuro fuzzy inference system (ANFIS) was proposed in this ...The fuzzy inference commonly used in ANFIS is first order Sugeno ...
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Wideband spectrum sensing using adaptive neuro fuzzy inference system in cognitive radio networks
... Shahrasbi & Rahnavard (2013) [10] formulated an efficient coordinated spectrum sensing algorithm for wideband large-scale cognitive radio networks. This scheme depends on clustering secondary users in ...
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PhishFind - An Enhanced Adaptive Neuro-Fuzzy Inference System Phishing Detection over Fog Networks
... ABSTRACT: The main objective of this system is to enhance the security mechanisms and avoiding the Phishing attacks over web medium.Anti-phishing detection solutions employed in industry use blacklist-based approaches to ...
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Adaptive Neuro-Fuzzy System for Cancer
... and fuzzy logic and is based on Takagi–Sugeno fuzzy inference ...of fuzzy logic in order to give enhanced prediction capabilities ...neural networks and fuzzy logic principles, it has ...
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Virtual Sensors for Safe Operation of Electrolyser and Hydrogen powered Car
... Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are presented as virtual sensors for the accurate estimation of hydrogen parameters such as the percentage lower ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... [3] Adaptive fuzzy inference system is proposed to improve the scalability of adhoc ...networks. Fuzzy network consist of three ...represents fuzzy rules and third layer denotes the ...
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Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms
... output‑based neuro controller was built based on the idea of the adaptive neuro‑fuzzy inference sys‑ tem (ANFIS) and its capabilities in response simulation, data cleansing and restoration ...
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Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)
... (Adaptive Neuro Fuzzy System) as it is a combination of Fuzzy logic and Neural Networks so ANFIS takes advantages from fuzzy logic and neural ...a Fuzzy inference system ...
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“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... neural networks (ANN), fuzzy logic, genetic algorithms (GA),Adaptive Neuro fuzzy inference system (ANFIS), ANFIS+GA and their response surface methodology are ...
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Image Denoising Using Adaptive Neuro-Fuzzy System
... the neuro -fuzzy network architecture [15][16]. The neuro-fuzzy network, which is an integration of the merits of neural and fuzzy approaches, enables one to build more intelligent ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...cooperative neuro-fuzzy ...
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Adaptive Neuro Fuzzy Expert System for Diagnosing HIV
... like fuzzy systems, linear systems, expert systems, neural networks, differential equations, interpolated multidimensional lookup tables, or even a spiritual ...
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Article Description
... neural networks employed for brain image classification are being computationally heavy and also do not guarantee high ...hand fuzzy logic technique is more accurate but it fully depends on expert ...
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Adaptive Neuro-Fuzzy Models for Conventional Coplanar Waveguides
... the adaptive neuro-fuzzy inference system (ANFIS) was successfully introduced to determine the characteristic parameters, effective permittivities and characteristic impedances, of conventional ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... hybrid Neuro- fuzzy classifier ...the neuro classifier and the fuzzy classifier and overcomes the demerits of both the ...neural networks employed for brain image classification are ...
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