Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic

This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Al-Nima, Raid R, Abdullah, Fawaz S, Hamoodi, Ali N
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Al-Nima, Raid R
Abdullah, Fawaz S
Hamoodi, Ali N
description This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm with them. Information fusions are at the confidence level, where matching scores can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy (GNF). It can be used for high accuracy real-time environments.
doi_str_mv 10.48550/arxiv.2102.08035
format Article
fullrecord <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2102_08035</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2102_08035</sourcerecordid><originalsourceid>FETCH-LOGICAL-a675-3f11259d3ed1653f8082a6c74f7beb54b94102c34cc0a12e30b58a051635049e3</originalsourceid><addsrcrecordid>eNotj81OwzAQhH3hgAoPwIl9gCbYsZ2fYym0VKrgkmOlaONsEos0Rk4KpE9PKJxmNBqN5mPsTvBQpVrzB_Tf9jOMBI9CnnKpr9nhiQbb9ICQk2l717lmgkccqALXw9gSbE6Dna2rYUs9jdbAqmuct2N7XMIrnTx2MOdfzr8D9tXcP58nmHesuWFXNXYD3f7rguWb53z9Euzftrv1ah9gnOhA1kJEOqskVSLWsk55GmFsElUnJZValZmaDxupjOEoIpK81ClyLWKpucpILtj93-wFr_jw9oh-Kn4xiwum_AGS0Uw_</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic</title><source>arXiv.org</source><creator>Al-Nima, Raid R ; Abdullah, Fawaz S ; Hamoodi, Ali N</creator><creatorcontrib>Al-Nima, Raid R ; Abdullah, Fawaz S ; Hamoodi, Ali N</creatorcontrib><description>This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm with them. Information fusions are at the confidence level, where matching scores can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy (GNF). It can be used for high accuracy real-time environments.</description><identifier>DOI: 10.48550/arxiv.2102.08035</identifier><language>eng</language><subject>Computer Science - Artificial Intelligence</subject><creationdate>2021-02</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,781,886</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2102.08035$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2102.08035$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Al-Nima, Raid R</creatorcontrib><creatorcontrib>Abdullah, Fawaz S</creatorcontrib><creatorcontrib>Hamoodi, Ali N</creatorcontrib><title>Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic</title><description>This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm with them. Information fusions are at the confidence level, where matching scores can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy (GNF). It can be used for high accuracy real-time environments.</description><subject>Computer Science - Artificial Intelligence</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81OwzAQhH3hgAoPwIl9gCbYsZ2fYym0VKrgkmOlaONsEos0Rk4KpE9PKJxmNBqN5mPsTvBQpVrzB_Tf9jOMBI9CnnKpr9nhiQbb9ICQk2l717lmgkccqALXw9gSbE6Dna2rYUs9jdbAqmuct2N7XMIrnTx2MOdfzr8D9tXcP58nmHesuWFXNXYD3f7rguWb53z9Euzftrv1ah9gnOhA1kJEOqskVSLWsk55GmFsElUnJZValZmaDxupjOEoIpK81ClyLWKpucpILtj93-wFr_jw9oh-Kn4xiwum_AGS0Uw_</recordid><startdate>20210216</startdate><enddate>20210216</enddate><creator>Al-Nima, Raid R</creator><creator>Abdullah, Fawaz S</creator><creator>Hamoodi, Ali N</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20210216</creationdate><title>Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic</title><author>Al-Nima, Raid R ; Abdullah, Fawaz S ; Hamoodi, Ali N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-3f11259d3ed1653f8082a6c74f7beb54b94102c34cc0a12e30b58a051635049e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computer Science - Artificial Intelligence</topic><toplevel>online_resources</toplevel><creatorcontrib>Al-Nima, Raid R</creatorcontrib><creatorcontrib>Abdullah, Fawaz S</creatorcontrib><creatorcontrib>Hamoodi, Ali N</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Al-Nima, Raid R</au><au>Abdullah, Fawaz S</au><au>Hamoodi, Ali N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic</atitle><date>2021-02-16</date><risdate>2021</risdate><abstract>This paper describes the design and development of a prototype technique for artificial intelligence based on the fusion of genetic algorithm, neural network and fuzzy logic. It starts by establishing a relationship between the neural network and fuzzy logic. Then, it combines the genetic algorithm with them. Information fusions are at the confidence level, where matching scores can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy (GNF). It can be used for high accuracy real-time environments.</abstract><doi>10.48550/arxiv.2102.08035</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.48550/arxiv.2102.08035
ispartof
issn
language eng
recordid cdi_arxiv_primary_2102_08035
source arXiv.org
subjects Computer Science - Artificial Intelligence
title Design a Technology Based on the Fusion of Genetic Algorithm, Neural network and Fuzzy logic
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T13%3A01%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Design%20a%20Technology%20Based%20on%20the%20Fusion%20of%20Genetic%20Algorithm,%20Neural%20network%20and%20Fuzzy%20logic&rft.au=Al-Nima,%20Raid%20R&rft.date=2021-02-16&rft_id=info:doi/10.48550/arxiv.2102.08035&rft_dat=%3Carxiv_GOX%3E2102_08035%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true