Functional link neural network with modified bee-firefly learning algorithm for classification task
Classification is one of the most frequent studies in the area of Artificial Neural Network (ANNs). The ANNs are capable of generating a complex mapping between the input and the output space to form arbitrarily complex nonlinear decision boundaries. One of the best-known types of ANNs is the Multil...
Saved in:
Main Author: | Mohmad Hassim, Yana Mazwin |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2016
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/10076/2/24p%20YANA%20MAZWIN%20MOHMAD%20HASSIM.pdf http://eprints.uthm.edu.my/10076/1/YANA%20MAZWIN%20MOHMAD%20HASSIM%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10076/3/YANA%20MAZWIN%20MOHMAD%20HASSIM%20WATERMARK.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A functional link neural network with modified cuckoo search for prediction tasks
by: Abu Bakar, Siti Zulaikha
Published: (2017) -
Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function
by: Hammash, Nayif Mohammed
Published: (2012) -
Radial basis function neural network learning with modified backpropagation algorithm
by: Tukur, Usman Muhammad
Published: (2014) -
Designing substitution boxes based on chaotic map and globalized firefly algorithm
by: Ahmed, Hussam Alddin Shihab
Published: (2019) -
An improved bat algorithm with artificial neural networks for classification problems
by: Rehman Gillani, Syed Muhammad Zubair
Published: (2016)