An interactive object-oriented Neural Network simulator applied to the recognition of Acoustical Signals

J. F. Leber, G. S. Moschytz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

An interactive object-oriented layer-based simulator is presented. It is intended for large-scale investigations of Artificial Neural Networks (ANN), and consists of two parts: 1) The simulation kernel: Its underlying base model is a layer of units, processing inputs to outputs (plus additional utilities). The core model has no knowledge of ANN, but serves as a base for specialized layers. 2) The interactive counterpart: By means of several windows, the actual state of the simulation can be visualized with variable amounts of information, and controlled, interacting with the layer as a whole, or with every single variable. Every specialized layer (currently available: audio interface, filter bank, 2-D filter, and common ANN models) inherits from its parent layer both the simulation kernel and its interactive counterpart (separately), modifies exisiting functions and adds new variables and functions. Individual layers are combined by multiple inheritance, which is shown for an Acoustical Signal Recognizer of high modularity, consistency, and flexibility.

Original languageEnglish
Title of host publication1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2937-2940
Number of pages4
ISBN (Electronic)0780305930
DOIs
StatePublished - 1992
Externally publishedYes
Event1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, United States
Duration: 10 May 199213 May 1992

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume6
ISSN (Print)0271-4310

Conference

Conference1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Country/TerritoryUnited States
CitySan Diego
Period10/05/9213/05/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

Fingerprint

Dive into the research topics of 'An interactive object-oriented Neural Network simulator applied to the recognition of Acoustical Signals'. Together they form a unique fingerprint.

Cite this