Computation of Adalines´ sensitivity to weight perturbation

Author

Zeng, Xiaoqin ; Wang, Yingfeng ; Zhang, Kang

Author_Institution

Dept. of Comput. Sci. & Eng., Hohai Univ., Jiangsu, China

Volume

17

Issue

2

fYear

2006

fDate

3/1/2006 12:00:00 AM

Firstpage

515

Lastpage

519

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.

Keywords

computational geometry; multilayer perceptrons; perturbation techniques; probability; sensitivity; Adaline erroneous output probability; Adalines sensitivity computation; analytical geometry method; hypercube model; weight perturbation; Algorithm design and analysis; Analytical models; Computational geometry; Computer science; Hypercubes; Mathematical model; Multilayer perceptrons; Neural networks; Solid modeling; Stochastic processes; Adaline; Madaline; neural networks; sensitivity; Algorithms; Artificial Intelligence; Computer Simulation; Models, Theoretical; Neural Networks (Computer); Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2005.863418

Filename

1603635