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• W126571814 abstract "This paper presents the recursive least squares method, combined with the general regression neural networks, applied to solve the problem of learning in time-varying environment. The general regression neural network is based on the orthogonal-type kernel functions. The appropriate algorithm is presented in a recursive form. Sufficient simulations confirm empirically the convergence of the algorithm." @default.
• W126571814 created "2016-06-24" @default.
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• W126571814 date "2012-01-01" @default.
• W126571814 modified "2023-09-25" @default.
• W126571814 title "On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method" @default.
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• W126571814 doi "https://doi.org/10.1007/978-3-642-29347-4_12" @default.
• W126571814 hasPublicationYear "2012" @default.
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