Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 67 for “"Neuro Fuzzy"”.
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Neuro-Fuzzy Forecasting of Tourist Arrivals
… a combination of artificial neural networks and fuzzy logic and compares the performance of this forecasting model with forecasts from other quantitative forecasting methods namely, the multi-layer perceptron neural network model, the error correction model, the basic structural model, the …
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Intelligent transformer monitoring system utilizing neuro-fuzzy approach
Includes bibliographical references (pages 113-120).
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Adaptive Simplified Neuro-Fuzzy Controller as Supplementary Stabilizer for SVC
A simplified version of an Adaptive Neuro-Fuzzy Controller (ANFC) applied to a FACTS device, namely a Static VAr Compensator (SVC), is presented in this dissertation. The proposed Adaptive Simplified Neuro-Fuzzy Controller (ASNFC), used as a supplementary controller to damp power system …
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Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting
… methodologies like neural networks and the fuzzy logic combined with optimization techniques, a wider class of systems can be handled at present. Complex systems may be of diverse characteristics and nature. These systems may be linear or nonlinear, continuous or discrete, time varying or …
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An Approach to Neuro-Fuzzy Feedback control in Statistical Process Control
… system.<br/><br/>This thesis is concerned with Fuzzy Sets and Fuzzy Logic applied to the uncertainty of relationships between the SPC (early stage) alarms and SPC implementation. Based on a number of experiments of the frequency distribution for shifts of abnormal process averages and human …
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Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms
… presents innovative approaches based on fuzzy logic in epileptic seizure detection and prediction from Electroencephalogram (EEG). The fuzzy rule-based algorithms were developed with the aim to improve quality of life of epilepsy patients by utilizing intelligent methods. An adaptive …
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Missing data handling in health sciences a neuro-fuzzy methods approach
… aborda essa questão aplicando métodos IA-fuzzy para imputação de dados ausentes em levantamentos epidemiológicos com avaliações unilaterais das arcadas dentárias. Usando técnicas avançadas de machine learning, esta investigação visa melhorar a predição de valores omitidos intencionalmente, …
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Adaptive neuro-fuzzy inference system based neural network and parameter constraints
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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A Novel Combined Investment Recommender System Using Adaptive Neuro-Fuzzy Inference System
… dissertation proposes the use of an adaptive neuro-fuzzy inference system (ANFIS) to develop a combined IRS that can provide accurate and efficient investment recommendations for potential investors. The main research question for this study is "How can an ANFIS be utilized to propose an …
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Neuro-Fuzzy Classification of Submarine Lava Flow Morphology On the Galapagos Spreading Center, 92W
<p>Submarine volcanism at mid-ocean ridges (MORs) comprises the majority of global magmatism and produces the quantum units of the upper oceanic crust, which covers over 70% of Earth's surface. Despite being one of our planet's most prolific and ubiquitous processes, only two deep seafloor …
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Neuro-fuzzy based artificial sensation system for the early detection of diabetic foot pathology
Includes bibliographical references (pages 95-102).
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Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System
… thesis deals with enhancing the performance of Fuzzy Logic (FL) based PI controllers for High Voltage Direct Current Transmission Systems (HVDC) by optimizing the key parameters i.e. membership functions (MFs) and fuzzy rule base in the controllers design. In the first part of the thesis, an …
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Development and analysis of hybrid adaptive neuro-fuzzy inference systems for the recognition of weak signals preceding earthquakes
… The work described in this thesis incorporates neuro-fuzzy technology for the reliable recognition of EEP signals within the electric field. Neuro-fuzzy networks are neural networks with intrinsic fuzzy logic abilities, i.e. the weights of the neurons in the network define the premise and …
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Online and offline training for adaptive neuro-fuzzy inference systems using deep and reinforcement learning with hierarchical rule-base reduction
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Neural networks and fuzzy logic for structural control
… adjustability acquired through utilization of fuzzy logic. This method is classified as a ""learning control method"" with emphasis on the important role of the learning capabilities of the controller. However it can be classified as a smart or an intelligent control method too. This method has …
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Fuzzy inference systems for iris biometrics to reduce search time in large databases
… process. We propose the use of an adaptive neuro-fuzzy inference system to implement this idea. In addition to the adaptive neuro-fuzzy inference system, we also used the subtractive clustering technique to create membership functions that helped us compare how each iris' texture features …
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Implementing adaptive fuzzy logic controllers with neural networks.
… presents an efficient approach that combines fuzzy logic and neural networks to capture these two important features required for an intelligent control system. A design method for adaptive neuro-fuzzy controllers has been proposed using structured neuro-fuzzy networks. The structured …
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