About: Classification with Pseudo Neural Networks Based On Evolutionary Symbolic Regression

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Classification with Pseudo Neural Networks Based On Evolutionary Symbolic Regression Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This research deals with a novel approach to classification. Classical artificial neural networks, where a relation between inputs and outputs is based on the mathematical transfer functions and optimized numerical weights, was an inspiration for this work. Artificial neural networks need to optimize weights, but the structure and transfer functions are usually set up before the training. There exist some evolutionary approaches, which help to set up the structure or to optimize weights in different ways than standard artificial neural networks do. The proposed method utilizes the symbolic regression for synthesis of a whole structure, i.e. the relation between inputs and output(s). For experimentation, Differential Evolution (DE) and Self Organizing Migrating Algorithm (SOMA) for the main procedure of analytic programming (AP) and DE as an algorithm for meta-evolution were used. This research deals with a novel approach to classification. Classical artificial neural networks, where a relation between inputs and outputs is based on the mathematical transfer functions and optimized numerical weights, was an inspiration for this work. Artificial neural networks need to optimize weights, but the structure and transfer functions are usually set up before the training. There exist some evolutionary approaches, which help to set up the structure or to optimize weights in different ways than standard artificial neural networks do. The proposed method utilizes the symbolic regression for synthesis of a whole structure, i.e. the relation between inputs and output(s). For experimentation, Differential Evolution (DE) and Self Organizing Migrating Algorithm (SOMA) for the main procedure of analytic programming (AP) and DE as an algorithm for meta-evolution were used. (en)
Title	Classification with Pseudo Neural Networks Based On Evolutionary Symbolic Regression Classification with Pseudo Neural Networks Based On Evolutionary Symbolic Regression (en)
skos:prefLabel	Classification with Pseudo Neural Networks Based On Evolutionary Symbolic Regression Classification with Pseudo Neural Networks Based On Evolutionary Symbolic Regression (en)
skos:notation	RIV/70883521:28140/11:43866764!RIV12-MSM-28140___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0089), P(GA102/09/1680), Z(MSM7088352101)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Oplatková, Zuzana Šenkeřík, Roman
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	190536
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/11:43866764
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	analytic programming, pseudo neural networks, evolutionary computation, classification (en)
http://linked.open.../riv/klicoveSlovo	analytic programming classification evolutionary computation pseudo neural networks
http://linked.open...ontrolniKodProRIV	[A7C0C162CEEA]
http://linked.open...v/mistoKonaniAkce	Barcelona, Španělsko
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Compting
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	The Centre of Security, Information and Advanced Technologies (CEBIA-Tech) Control Algorithm Design by Means of Evolutionary Approach
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Oplatková, Zuzana Šenkeřík, Roman
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-10-26 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Multifunctional Composite Systems Based on Natural and Synthetic Polymers
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Operations Center
https://schema.org/isbn	978-0-7695-4531-8
http://localhost/t...ganizacniJednotka	28140

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 110 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software