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...
Saved in:
Main Authors: | Asadi, Roya, Mustapha, Norwati, Sulaiman, Md. Nasir |
---|---|
格式: | Article |
語言: | English English |
出版: |
IJCSIS Press
2009
|
在線閱讀: | 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/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A novel strategy for speed up training for back propagation algorithm via dynamic adaptive the weight training in artificial neural network
由: Al-Duais, Mohameed Sarhan, et al.
出版: (2015) -
A framework for intelligent multi agent system based neural network classification model
由: Asadi, Roya, et al.
出版: (2009) -
Back propagation neural network and non-linear regression models for dengue outbreak prediction
由: Husin, Nor Azura
出版: (2008) -
New supervised multi layer feed forward neural network model to accelarate classification with high accuracy.
由: Asadi, Roya, et al.
出版: (2009) -
An investigation of back-propagation neural network on university selection
由: Maharani, Sitti Syarah, et al.
出版: (2015)