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＜紀要論文＞
Minimization Learning of Neural Networks by Adding Hidden Units
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| 概要 | This paper proposes a minimization learning method for neural networks with one hidden layer. We treat two types of networks without and with thresholds in their output layers. Both of them are learnt... by minimizing error functions whenever one unit is added to the hidden layer. Our learning method is applied to design a neural network with thresholds for image recognition.続きを見る |
詳細
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| 登録日 | 2015.08.18 |
| 更新日 | 2020.12.15 |