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A hybrid ART-GRNN online learning neural network with a ?-insensitive loss function

In this brief, a new neural network model called generalized adaptive resonance theory (GART) is introduced. GART is a hybrid model that comprises a modified Gaussian adaptive resonance theory (MGA) and the generalized regression neural network (GRNN). It is an enhanced version of the GRNN, which pr...

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書誌詳細
主要な著者:	Yap K.S., Lim C.P., Abidin I.Z.
その他の著者:	24448864400
フォーマット:	論文
出版事項:	2023
主題:	Adaptive resonance theory (ART) Bayesian theorem Generalized regression neural network (GRNN) Online sequential extreme learning machine Algorithms Artificial Intelligence Computer Simulation Models, Theoretical Neural Networks (Computer) Online Systems Pattern Recognition, Automated Arts computing E-learning Education Feedforward neural networks Food processing Image classification Internet Learning systems Radial basis function networks Resonance Time series analysis algorithm article artificial intelligence artificial neural network automated pattern recognition computer simulation methodology online system theoretical model Adaptive resonance theories Adaptive resonance theory Empirical studies Extreme Learning Machine Gaussian Generalized regression neural network Hybrid model Loss functions Neural network modelling On-line learning Radial basis function neural networks Sequential learning Time-series prediction Neural networks
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