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A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure

This paper attempts to solve the typical problems of self-organizing growing network models, i.e. (a) an influence of the order of input data on the self-organizing ability, (b) an instability to high-dimensional data and an excessive sensitivity to noise, and (c) an expensive computational cost by...

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書誌詳細
主要な著者:	Masuyama, Naoki, Loo, Chu Kiong, Wermter, Stefan
フォーマット:	論文
出版事項:	World Scientific Publishing 2019
主題:	QA75 Electronic computers. Computer science
オンライン･アクセス:	http://eprints.um.edu.my/24040/ https://doi.org/10.1142/S0129065718500521
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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