Training process reduction based on potential weights linear analysis to accelerate back propagation network.
Learning is the important property of Back Propagation Network (BPN) and finding the suitable weights and thresholds during training in order to improve training time as well as achieve high accuracy. Currently, data pre-processing such as dimension reduction input values and pre-training are the c...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English English |
| 出版事項: |
IJCSIS Press
2009
|
| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/17465/1/Training%20process%20reduction%20based%20on%20potential%20weights%20linear%20analysis%20to%20accelerate%20back%20propagation%20network.pdf http://psasir.upm.edu.my/id/eprint/17465/ |
| 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!
|