<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>細胞神經網路 matlab 代碼 Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%e7%b4%b0%e8%83%9e%e7%a5%9e%e7%b6%93%e7%b6%b2%e8%b7%af-matlab-%e4%bb%a3%e7%a2%bc/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/細胞神經網路-matlab-代碼/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:10:41 +0000</lastBuildDate>
	<language>en-GB</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://matlab1.com/wp-content/uploads/2018/08/icon1-100x100.png</url>
	<title>細胞神經網路 matlab 代碼 Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/細胞神經網路-matlab-代碼/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>MATLAB code Edge detection of noisy images based on cellular neural networks</title>
		<link>https://matlab1.com/shop/matlab-code/matlab-code-edge-detection-of-noisy-images-based-on-cellular-neural-networks/</link>
					<comments>https://matlab1.com/shop/matlab-code/matlab-code-edge-detection-of-noisy-images-based-on-cellular-neural-networks/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 03 Oct 2015 13:43:14 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=356</guid>

					<description><![CDATA[<p>This code studies a technique employing both cellular neural networks (CNNs) and linear matrix inequality (LMI) for edge detection of noisy images. Our main work focuses on training templates of noise reduction and edge detection CNNs. Based on the Lyapunov stability theorem, we derive a criterion for global asymptotical stability of a unique equilibrium of the noise reduction CNN. [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/matlab-code-edge-detection-of-noisy-images-based-on-cellular-neural-networks/">MATLAB code Edge detection of noisy images based on cellular neural networks</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/matlab-code-edge-detection-of-noisy-images-based-on-cellular-neural-networks/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
