Thesis Open Access
Eyob Gedlie
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://doi.org/10.20372/nadre:5730"> <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Text"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.20372/nadre:5730</dct:identifier> <foaf:page rdf:resource="https://doi.org/10.20372/nadre:5730"/> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Eyob Gedlie</foaf:name> </rdf:Description> </dct:creator> <dct:title>Investigation of Soft Neural Network Algorithm Implement to Analog Electronics Devices</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-12-31</dct:issued> <owl:sameAs rdf:resource="https://nadre.ethernet.edu.et/record/5730"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://nadre.ethernet.edu.et/record/5730</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.20372/nadre:5729"/> <dct:isPartOf rdf:resource="https://nadre.ethernet.edu.et/communities/aau"/> <dct:isPartOf rdf:resource="https://nadre.ethernet.edu.et/communities/zenodo"/> <dct:description><p>The implementation of neural systems is presented in this paper. The thesis focuses on<br> implementations where the algorithms and their physical support are tightly coupled. This thesis<br> describes a neural network intelligent, application, soft-algorithm to implement to hardware<br> electronics device. With the emerging of Integrated Circuit, any design with large number of<br> electronic components can be squeezed into a tiny chip area with minimum power requirements,<br> which leads to integration of innumerable applications so as to design any electronic consumer<br> product initiated in the era of digital convergence. One has many choices for selecting either of<br> these reconfigurable techniques based on Speed, Gate Density, Development, Prototyping,<br> simulation time and cost. This thesis describes the implementation in hardware of an Artificial<br> Neural Network with an Electronic circuit made up of Op-amps. The implementation of a Neural<br> Network in hardware can be desired to benefit from its distributed processing capacity or to avoid<br> using a personal computer attached to each implementation. The hardware implementation is based<br> in a Feed Forward Neural Network, with a hyperbolic tangent as activation function, with floating<br> point notation of single precision. The device used was an electronic circuit made with Op-amps<br> The Proteus Software version 8.0 was used to validate the implementation results of the hardware<br> circuit. The results show that the implementation does not introduce a noticeable loss of precision<br> but is slower than the software implementation running in a PC.</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:rights> <dct:RightsStatement rdf:about="http://www.opendefinition.org/licenses/cc-by"> <rdfs:label>Creative Commons Attribution</rdfs:label> </dct:RightsStatement> </dct:rights> <dcat:accessURL rdf:resource="https://doi.org/10.20372/nadre:5730"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.20372/nadre:5730"/> <dcat:byteSize>647925</dcat:byteSize> <dcat:downloadURL rdf:resource="https://nadre.ethernet.edu.et/record/5730/files/f1042664640.pdf"/> <dcat:mediaType>application/pdf</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> </rdf:RDF>
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