DOI: 10.7763/IJAPM.2011.V1.25
Learning Rules Comparison in Neuro-Symbolic Integration
Abstract—Pseudo inverse learning rule and hyperbolic activation function performance will be evaluated and compared with the sign constraint method and Hebb rule. Comparisons are made between these rules to see which rule is better or outperformed other rules in the aspects of computation time, memory and complexity. From the computer simulation that has been carried out, the hyperbolic activation function performs better than the other learning methods.
Index Terms—Pseudo inverse, hebb rule, hyperbolic activation function, capacity
Saratha Sathasivam is with the School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang (Email:saratha@cs.usm.my)
Cite: Saratha Sathasivam, "Learning Rules Comparison in Neuro-Symbolic Integration," International Journal of Applied Physics and Mathematics vol. 1, no. 2, pp. 129-132, 2011.
General Information
-
Dec 27, 2021 News!
IJAPM Vol 9 & Vol 10 have been indexed by Inspec [Click]
-
Mar 27, 2024 News!
IJAPM Vol 14, No 1 has been published online [Click]
-
Jan 02, 2024 News!
IJAPM will adopt Article-by-Article Work Flow For the Quarterly journal, each issue will be released at the end of the issue month
-
Jan 02, 2024 News!
The papers published in Vol 13, No 4 has received dois from Crossref
-
Oct 09, 2023 News!
IJAPM Vol 13, No 4 has been published with online version [Click]
- Read more>>