Digital image recognition based on improved cognitive neural network

This paper presents an innovative cognitive neural network method application in digital image recognition. The following conclusion can be drawn. Each point of the graph is transformed, and the original color of the transformed new coordinates is given to the point. If after all the points have tra...

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Autor principal:	Liu Yuxi
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2019
Materias:	cognitive neural network corresponding digital matrix digital image recognition Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/789401c987b34539bb5cd9bcce85c26d
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id	oai:doaj.org-article:789401c987b34539bb5cd9bcce85c26d
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spelling	oai:doaj.org-article:789401c987b34539bb5cd9bcce85c26d2021-12-05T14:11:04ZDigital image recognition based on improved cognitive neural network2081-693610.1515/tnsci-2019-0021https://doaj.org/article/789401c987b34539bb5cd9bcce85c26d2019-04-01T00:00:00Zhttps://doi.org/10.1515/tnsci-2019-0021https://doaj.org/toc/2081-6936This paper presents an innovative cognitive neural network method application in digital image recognition. The following conclusion can be drawn. Each point of the graph is transformed, and the original color of the transformed new coordinates is given to the point. If after all the points have transformed, if there is a point and no point has converted to this point, the point is not given a color. Then this point will form a hole or a stripe, and the color is the color of the point initialization. The innovative method can effectively separate the digital image recognition signal from the mixed signal and maintain the waveform of the source signal with high accuracy, thus laying the foundation for the next step of recognition.Liu YuxiDe Gruyterarticlecognitive neural networkcorresponding digital matrixdigital image recognitionNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENTranslational Neuroscience, Vol 10, Iss 1, Pp 125-128 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	cognitive neural network corresponding digital matrix digital image recognition Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	cognitive neural network corresponding digital matrix digital image recognition Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Liu Yuxi Digital image recognition based on improved cognitive neural network
description	This paper presents an innovative cognitive neural network method application in digital image recognition. The following conclusion can be drawn. Each point of the graph is transformed, and the original color of the transformed new coordinates is given to the point. If after all the points have transformed, if there is a point and no point has converted to this point, the point is not given a color. Then this point will form a hole or a stripe, and the color is the color of the point initialization. The innovative method can effectively separate the digital image recognition signal from the mixed signal and maintain the waveform of the source signal with high accuracy, thus laying the foundation for the next step of recognition.
format	article
author	Liu Yuxi
author_facet	Liu Yuxi
author_sort	Liu Yuxi
title	Digital image recognition based on improved cognitive neural network
title_short	Digital image recognition based on improved cognitive neural network
title_full	Digital image recognition based on improved cognitive neural network
title_fullStr	Digital image recognition based on improved cognitive neural network
title_full_unstemmed	Digital image recognition based on improved cognitive neural network
title_sort	digital image recognition based on improved cognitive neural network
publisher	De Gruyter
publishDate	2019
url	https://doaj.org/article/789401c987b34539bb5cd9bcce85c26d
work_keys_str_mv	AT liuyuxi digitalimagerecognitionbasedonimprovedcognitiveneuralnetwork
_version_	1718371429320228864

Digital image recognition based on improved cognitive neural network

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