Hebbian Learning with Kernel-Based Embedding of Input Data
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DOI: 10.1007/s11063-024-11707-9
Abstract: Although it requires simple computations, provides good performance on linear classification tasks and offers a suitable environment for active learning strategies, the Hebbian learning rule is very sensitive to how the training data relate to… read more here.
Keywords: input data; input; hebbian learning; based embedding ... See more keywords
Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil
Sign Up to like & getrecommendations! Published in 2022 at "Evolving Systems"
DOI: 10.1007/s12530-021-09388-z
Abstract: A prediction model is an indispensable tool in business, helping to make decisions, whether in the short, medium, or long term. In this context, the implementation of machine learning techniques in time series forecasting models… read more here.
Keywords: step size; evolving participatory; participatory learning; learning kernel ... See more keywords
An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106334
Abstract: Abstract A factor that directly impacts the lifespan of a power transformer is the hot-spot temperature, and its monitoring is vital to prevent faults, reduce costs, keep the safety, and provide a reliable service to… read more here.
Keywords: learning kernel; set membership; participatory learning; membership ... See more keywords