The Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing

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dc.creatorWang,Youren
dc.creatorZhang,Zhiqiang
dc.creatorCui,Jiang
dc.date2007
dc.date.accessioned2024-02-06T12:55:51Z
dc.date.available2024-02-06T12:55:51Z
dc.descriptionIt is a difficult problem that using cellular neural network to make up of analog signal processing circuit. This paper presented the architecture of new cellular neural network SCCNN for analog signal processing circuits, designed the neural cell circuit, and developed the evolutionary design method of the SCCNN based on selfadapting genetic algorithm. In the architecture of new cellular neural network SCCNN, each neural cell connects with four neighborhood neural cells, the neural cell circuit and signal transfer line between neural cells are controlled by programmable switches. The validity of the SCCNN architecture and the evolutionary design method are verified through digital simulation. The experimental results indicate that the SCCNN hardware is a universal cellular neural network for analog signal processing circuit, which can be used to make up of the analog signal amplifier, analog signal filter, digit logic circuit, DAC circuit and so on.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-09-1344
dc.identifierhttps://lib.jucs.org/article/28857/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9478
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(9): 1344-1353
dc.subjectcellular neural network
dc.subjectevolutionary design
dc.subjectanalog signal processing circuit
dc.subjectDAC circuit
dc.titleThe Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing
dc.typeResearch Article
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