WCBP: A new water cycle based back propagation algorithm for data classification
Water Cycle algorithm is a modern nature inspired meta-heuristic algorithm to provide derivative-free solution to optimize complex problems. The back-propagation neural network (BPNN) algorithm performs well on many complex data types but it possess the problem of network stagnancy and local minima....
Saved in:
Main Authors: | Mohd. Nawi, Nazri, Khan, Abdullah, Firdaus, Naim, M. Z., Rehman, Siming, Insaf Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Research Publishing Network (ARPN)
2016
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/4299/1/AJ%202016%20%2836%29.pdf http://eprints.uthm.edu.my/4299/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BAT-BP: A new BAT based back-propagation algorithm for efficient data classification
by: Mohd. Nawi, Nazri, et al.
Published: (2016) -
Enhancing the cuckoo search with levy flight through population estimation
by: Mohd Nawi, Nazri, et al.
Published: (2016) -
An improved computational model for classification of 3D spatio temporal FMRI data
by: Saharuddin, Shaznoor Shakira
Published: (2018) -
New Algorithm for Determinant of Matrices Via Combinatorial Approach
by: Zake, Lugen M.
Published: (2012) -
Enhancement of Ant System Algorithm for Course Timetabling Problem
by: Djamarus, Djasli
Published: (2009)