On the analysis of neural networks for image processing

BJ van der Zwaag, K Slump, Lambert Spaanenburg

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

Abstract

This paper illustrates a novel method to analyze artificial neural networks so as to gain insight into their internal functionality. To this purpose, we will show analysis results of some feed-forward-error-back-propagation neural networks for image processing. We win describe them in terms of domain-dependent basic functions, which axe, in the case of the digital image processing domain, differential operators of various orders and with various angles of operation. Some other pixel classification techniques axe analyzed in the same way, enabling easy comparison.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (Knowledge-Based Intelligent Information and Engineering Systems, Proceedings Pt 2)
PublisherSpringer
Pages950-957
Volume2774
ISBN (Print)978-3-540-40804-8
DOIs
Publication statusPublished - 2003
Event7th Int. Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES) - Oxford, United Kingdom
Duration: 2003 Sep 32003 Sep 5

Publication series

Name
Volume2774
ISSN (Print)1611-3349
ISSN (Electronic)0302-9743

Conference

Conference7th Int. Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES)
Country/TerritoryUnited Kingdom
CityOxford
Period2003/09/032003/09/05

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Fingerprint

Dive into the research topics of 'On the analysis of neural networks for image processing'. Together they form a unique fingerprint.

Cite this