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...
محفوظ في:
المؤلفون الرئيسيون: | Asadi, Roya, Mustapha, Norwati, Sulaiman, Md. Nasir |
---|---|
التنسيق: | مقال |
اللغة: | English English |
منشور في: |
IJCSIS Press
2009
|
الوصول للمادة أونلاين: | 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/ |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
A novel strategy for speed up training for back propagation algorithm via dynamic adaptive the weight training in artificial neural network
بواسطة: Al-Duais, Mohameed Sarhan, وآخرون
منشور في: (2015) -
A framework for intelligent multi agent system based neural network classification model
بواسطة: Asadi, Roya, وآخرون
منشور في: (2009) -
Back propagation neural network and non-linear regression models for dengue outbreak prediction
بواسطة: Husin, Nor Azura
منشور في: (2008) -
New supervised multi layer feed forward neural network model to accelarate classification with high accuracy.
بواسطة: Asadi, Roya, وآخرون
منشور في: (2009) -
An investigation of back-propagation neural network on university selection
بواسطة: Maharani, Sitti Syarah, وآخرون
منشور في: (2015)