Computation of Adalines' sensitivity to weight perturbation

IEEE Trans Neural Netw. 2006 Mar;17(2):515-9. doi: 10.1109/TNN.2005.863418.

Abstract

In this paper, the sensitivity of Adalines to weight perturbation is discussed. According to the discrete feature of Adalines' input and output, the sensitivity is defined as the probability of an Adaline's erroneous outputs due to weight perturbation with respect to all possible inputs. By means of hypercube model and analytical geometry method, a heuristic algorithm is given to accurately compute the sensitivity. The accuracy of the algorithm is verified by computer simulations.

Publication types

  • Evaluation Study
  • Letter
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Computer Simulation
  • Models, Theoretical*
  • Neural Networks, Computer*
  • Numerical Analysis, Computer-Assisted*
  • Pattern Recognition, Automated / methods*