Flatness of the Energy Landscape for Horn Clauses

Authors

  • Saratha Sathasivam
  • 2Wan Ahmad Tajuddin Wan Abdullah

DOI:

https://doi.org/10.11113/matematika.v23.n.529

Abstract

The Little-Hopfeld neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function for logical interpretations of the sets of Horn clauses, has minimal ruggedness. This is supported by computer simulations. Keywords: Little-Hopfeld neural networks; Horn clauses; energy landscape; ruggedness .

Downloads

Published

01-12-2007

Issue

Volume 23 (December 2007)

Section

Analysis and Algebra

License

Copyright of articles that appear in MATEMATIKA: MJIAM belongs exclusively to Penerbit UTM Press, Universiti Teknologi Malaysia. This copyright covers the rights to reproduce the article, including reprints, electronic reproductions or any other reproductions of similar nature.

How to Cite

Flatness of the Energy Landscape for Horn Clauses. (2007). MATEMATIKA, 23, 147-156. https://doi.org/10.11113/matematika.v23.n.529