Knowledge Extraction In Hopfield Network
Deduction simplifies the knowledge representation without affecting the knowledge contents. Thus, deduction makes the clauses more compact and easier to be interpreted as a large amount of redundancy may obscure the meaning ofthe represented knowledge.
Main Author: | Sathasivam, Saratha |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://eprints.usm.my/32390/1/KNOWLEDGE_EXTRACTION_IN_HOPFIELD_NETWORK.pdf |
Similar Items
-
Energy Relaxation For Hopfield Network With The New Learning Rule.
by: Sathasivam, Saratha
Published: (2009) -
Optimization Methods In Training Neural Networks
by: Sathasivam, Saratha
Published: (2003) -
Data Mining In Network Without Higher Order Connections.
by: Sathasivam, Saratha
Published: (2009) -
Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
by: Kho, Liew Ching
Published: (2019) -
Binary Artificial Bee Colony Optimization For Weighted Random 2 Satisfiability In Discrete Hopfield Neural Network
by: Muhammad Sidik, Siti Syatirah
Published: (2023)