Information Technology and Management Science · 2013 · 18 citations · 7 references
ComputingMathematicsMachine LearningNeural EngineeringTime Series AnalysisFuzzy LogicNeural ModelingNeural NetworksNeural Signal ProcessingTime Series ForecastingTime Series PredictionAdaptive AlgorithmsAdaptive Neural ControlApproximation PropertiesFuzzy Inference SystemsFuzzy SetsNeural ForecastingNeural Network-based TuningTuning
In the paper, a new flexible modification of neofuzzy neuron, neuro-fuzzy network based on these neurons and adaptive learning algorithms for the tuning of their all parameters are proposed. The algorithms are of interest because they ensure the on-line tuning of not only the synaptic weights and membership function parameters but also forms of these functions that provide improving approximation properties and allow avoiding the occurrence of "gaps" in the space of inputs.
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