Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming
The emergence of 3-Satisfiability (3-SAT) problem has produced a prolific number of works devoted to the field of logic and data mining. In this study, a new hybrid method in doing logic programming by incorporating 3-SAT logical rules as a computational tool will be presented. Hence, a robust intel...
Saved in:
主要作者: | Mansor, Mohd. Asyraf |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2017
|
主題: | |
在線閱讀: | http://eprints.usm.my/45423/1/MOHD.%20ASYRAF%20MANSOR.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Multi-objective Hybrid Election Algorithm For Random K Satisfiability In Discrete Hopfield Neural Network
由: Karim, Syed Anayet
出版: (2023) -
Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
由: Kho, Liew Ching
出版: (2019) -
Binary Artificial Bee Colony Optimization For Weighted Random 2 Satisfiability In Discrete Hopfield Neural Network
由: Muhammad Sidik, Siti Syatirah
出版: (2023) -
A Hybrid Neural Network - Hidden Markov Model - Fuzzy
Logic Method For Protein Classification
由: Chew, Martin Wooi Keat
出版: (2007) -
Acceleration Strategies For The Backpropagation
Neural Network Learning Algorithm
由: Zainuddin, Zarita
出版: (2001)