Dynamic training rate for backpropagation learning algorithm
In this paper, we created a dynamic function training rate for the Back propagation learning algorithm to avoid the local minimum and to speed up training.The Back propagation with dynamic training rate (BPDR) algorithm uses the sigmoid function.The 2-dimensional XOR problem and iris data were used...
Saved in:
Main Authors: | Al-Duais, M. S., Yaakub, Abdul Razak, Yusoff, Nooraini |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/19123/1/MICC%202013%20277-282.pdf http://repo.uum.edu.my/19123/ http://doi.org/10.1109/MICC.2013.6805839 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi objective genetic algorithm for training three term backpropagation network
by: Osman Ibrahim, Ashraf, et al.
Published: (2013) -
A novel strategy for speed up training for back propagation algorithm via dynamic adaptive the weight training in artificial neural network
by: Al-Duais, Mohameed Sarhan, et al.
Published: (2015) -
Three-term backpropagation algorithm for classification problem
by: Saman, Fadhlina Izzah
Published: (2006) -
Learning enhancement of three-term backpropagation network based on elitist multi-objective evolutionary algorithms
by: Elsayed, Ashraf Osman Ibrahim
Published: (2015) -
Enhancement processing time and accuracy training via significant parameters in the batch BP algorithm
by: Fatma Susilawati, Mohamad, et al.
Published: (2020)