<?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>支援向量機 Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%e6%94%af%e6%8f%b4%e5%90%91%e9%87%8f%e6%a9%9f/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/支援向量機/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:21:21 +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>支援向量機 Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/支援向量機/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Arduino code for EEG signals collection and MATLAB code for classification</title>
		<link>https://matlab1.com/shop/matlab-code/arduino-code-for-eeg-signals-collection-and-matlab-code-for-classification/</link>
					<comments>https://matlab1.com/shop/matlab-code/arduino-code-for-eeg-signals-collection-and-matlab-code-for-classification/#comments</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 14 Mar 2018 12:01:33 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4341</guid>

					<description><![CDATA[<p>This project has two section : Code to collect data using the Arduino UNO. MATLAB code for EEG signal classification based on Support Vector Machine (SVM) If you are going to create link between MATLAB and Arduino and want to implement machine learning algorithms, This project can help you. This code has a document (79 [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/arduino-code-for-eeg-signals-collection-and-matlab-code-for-classification/">Arduino code for EEG signals collection and MATLAB code for classification</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/arduino-code-for-eeg-signals-collection-and-matlab-code-for-classification/feed/</wfw:commentRss>
			<slash:comments>2</slash:comments>
		
		
			</item>
		<item>
		<title>Non Dominated Sorting Artificial Bee Colony for SVM optimization</title>
		<link>https://matlab1.com/shop/matlab-code/non-dominated-sorting-aritifical-bee-colony-svm-optimization/</link>
					<comments>https://matlab1.com/shop/matlab-code/non-dominated-sorting-aritifical-bee-colony-svm-optimization/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 07 Sep 2016 13:06:24 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=709</guid>

					<description><![CDATA[<p>Support vector machine has many parameters. Accurate adjustment of these parameters has the impact of its performance. In this MATLAB code, we used the Non-Dominated Sorting Artificial Bee Colony for finding RBF sigma and box-constraint of SVM. &#160; &#160;</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/non-dominated-sorting-aritifical-bee-colony-svm-optimization/">Non Dominated Sorting Artificial Bee Colony for SVM optimization</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/non-dominated-sorting-aritifical-bee-colony-svm-optimization/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
