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 5 of 5 for “"neuro-fuzzy inference systems"”.
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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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Design, Development, and Human Analogous Control of a Climbing Robot
… including Artificial Neural Networks (ANN), Fuzzy Logic Control (FLC), and the Adaptive Neuro-Fuzzy Inference Systems (ANFIS), a novel human-analogous control strategy based on ANFIS was implemented to control the position of the robot climbing a straight pole against gravity. The design …
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Initiation of Particle Movement in Turbulent Open Channel Flow
… to these statistical tools, a number of Adaptive Neuro-Fuzzy Inference Systems employing different input representations are used to learn the nonlinear dynamics of the system and perform statistical prediction. The performance of these models is assessed in terms of their broad validity, …
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Retrieval of grassland biophysical parameters using multitemporal optical and radar satellite data
… biomass using multiple linear regression, Neuro Fuzzy Inference Systems (ANFIS) models. The results demonstrate that a dense (8-day composite) MODIS image time series, along with high quality in situ data, can be used to retrieve grassland biomass with high performance (R2 = 0:86; p < 0:05, …