Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
The representation of 2 Satisfiability problem or 2SAT is increasingly viewed as a significant logical rule in order to synthesize many real life applications. Although there were many researchers proposed the solution of 2SAT, little attention has been paid to the significance of the 2SAT logical r...
Saved in:
Main Author: | Kho, Liew Ching |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://eprints.usm.my/55729/1/24%20Pages%20from%20Kho%20Liew%20Ching.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming
by: Mansor, Mohd. Asyraf
Published: (2017) -
Hybrid ant colony optimization algorithm for container loading problem
by: Yap, Ching Nei
Published: (2012) -
Developing Hopfield Neural Network For Color Image Recognition
by: Mutter, Kussay Nugamesh
Published: (2010) -
Nitrogen prediction model through new hybrid model using ant colony optimization and Elman neural network /
by: Kumar, Pavitra
Published: (2021) -
Modified Hopfield Neural Network
Classification Algorithm For
Satellite Images
by: Ahmed Asal Kzar, Ahmed Asal Kzar
Published: (2016)