www.pudn.com > ELM.rar > Extreme Learning Machines Source Codes.htm, change:2013-07-20,size:13945b


<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<!-- saved from url=(0050)http://www.ntu.edu.sg/home/egbhuang/elm_codes.html -->
<html><!-- InstanceBegin template="/Templates/elm_template.dwt" codeOutsideHTMLIsLocked="false" --><head><meta http-equiv="Content-Type" content="text/html; charset=GBK">
	<!-- InstanceBeginEditable name="doctitle" -->
	<title>Extreme Learning Machines : Source Codes</title>
	<meta name="description" content="Designed and developed by Codify Design Studio - codifydesign.com">
	<!-- InstanceEndEditable -->
<link rel="stylesheet" type="text/css" href="./Extreme Learning Machines   Source Codes_files/stylesheet.css">
		<script src="./Extreme Learning Machines   Source Codes_files/SpryMenuBar.js" type="text/javascript"></script>
		<link href="./Extreme Learning Machines   Source Codes_files/SpryMenuBarHorizontal.css" rel="stylesheet" type="text/css">
		<!-- InstanceBeginEditable name="head" -->
		<!-- InstanceEndEditable -->
	</head>
	<body>
	
		<div class="bannerArea">
			<div class="container">
				<div class="bannernav"><a href="http://www.ntu.edu.sg/home/egbhuang/elm_codes.html#"> Policy</a> • <a href="mailto:elm201x@gmail.com">Contact Us</a><a href="http://www.ntu.edu.sg/home/egbhuang/elm_codes.html#"></a> • <a href="http://www.ntu.edu.sg/home/egbhuang/index.html">Home</a></div>
				<div class="toplogo"><a href="http://www.ntu.edu.sg/home/egbhuang/elm_codes.html#"><img src="./Extreme Learning Machines   Source Codes_files/elm-logo.png" border="0"></a></div>
				<div style="clear:both;"></div>
			</div>
		</div>
		<div class="topnavigationArea">
			<div class="container"> 
				<div class="topnavigationgroup">
					<ul id="MenuBar1" class="MenuBarHorizontal">
						<li><a href="./Extreme Learning Machines   Source Codes_files/Extreme Learning Machines   Source Codes.htm">Source codes</a>						</li>
						<li><a href="http://www.ntu.edu.sg/home/egbhuang/open_problem.html" class="">Open problems</a></li>
						<li><a class="MenuBarItemSubmenu" href="http://www.ntu.edu.sg/home/egbhuang/elm_codes.html#">Conferences</a>
							<ul>
                                <li><a href="http://www.ntu.edu.sg/home/egbhuang/ELM2013/index.html" title="ELM2013" target="new">ELM2013</a></li>
                                <li><a href="http://elm2012.extreme-learning-machines.org/" target="new">ELM2012</a></li>
                                <li><a href="http://elm2011.extreme-learning-machines.org/" target="new">ELM2011</a></li>
                                <li><a href="http://elm2010.extreme-learning-machines.org/" target="new">ELM2010</a></li>
							</ul>
						</li>
                        <li style="border-right-style: solid;"><a href="http://www.ntu.edu.sg/home/egbhuang/elm_codes.html#" class="MenuBarItemSubmenu">Materials</a>
                          <ul>
                            <li><a href="http://www.ntu.edu.sg/home/egbhuang/pdf/ELM-General.pdf" target="new">Talks</a></li>
                            <li><a href="http://www.ntu.edu.sg/home/egbhuang/pdf/ELM-WCCI2012.pdf" target="new">Tutorials</a></li>
</ul>
                        </li>
                        <li><a href="http://www.ntu.edu.sg/home/egbhuang/reference.html">References</a></li>
</ul>
				</div>
				<div style="clear:both;"></div>
			</div>
		</div>
		<div class="contentArea">
			<div class="container"><!-- InstanceBeginEditable name="content" -->
			<div class="contentleft">
					<h1><strong>Basic ELM Algorithms</strong></h1>
                    <h2>MATLAB version</h2>
                    <p>The MATLAB codes of <strong><em>basic</em></strong> ELM (with <strong>randomly  generated hidden nodes</strong>) are available for <strong><a href="http://www.ntu.edu.sg/home/egbhuang/elm_random_hidden_nodes.html">download</a></strong> now. <strong> </strong></p>
                    <p>Sources of ELM with <strong><em>kernels</em></strong> (for both <strong><em>regression</em></strong> and <strong><em>multi-class</em></strong> classification) are also available for <strong><a href="http://www.ntu.edu.sg/home/egbhuang/elm_kernel.html">download</a></strong> now. </p>
                    <p>Sources of OS-ELM are available for <strong><a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/OS-ELM.zip">download</a></strong>. </p>
                    <p> </p>
                    <h2>C/C++ version</h2>
              <p>Thank <a href="mailto:vladislavs.dovgalecs@gmail.com">Vladislavs Dovgalecs</a> from University of Rouen, Italy, for the kind contribution of C/C++ version of ELM, which can be <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/elm_linear.zip">downloaded</a> from this ELM web portal. A blog entry describing briefly the algorithm and  its main benefits as well as a link to the code can be found at                 <a href="http://dovgalecs.com/blog/extreme-learning-machine-matlab-mex-implementation/" target="new">http://dovgalecs.com/blog/extreme-learning-machine-matlab-mex-implementation/</a></p>
              <p>This code has not been verifitied by this ELM web portal. Researchers can refer to the contributor for any questions/insutrations.</p>
              <h2> </h2>
              <h2>Python version</h2>
                    <p>Thank <a href="mailto:dcl@panix.com">David Lambert</a> for the kind contribution of Python version of ELM, which can be <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/Python-ELM-master.zip">downloaded</a> from this ELM web portal. A blog entry describing briefly the algorithm and a link to the code can be found at <a href="https://github.com/dclambert/Python-ELM" target="new">https://github.com/dclambert/Python-ELM</a></p>
                    <p>This code has not been verifitied by this ELM web portal. Researchers can refer to the contributor for any questions/insutrations.</p>
                    <p> </p>
                    <h2>JAVA version</h2>
                    <p>Thank <a href="mailto:donggeat2006@yahoo.com.cn">Dong Li</a> for the kind contribution of Java version of ELM, which can be <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/ELM-Java.zip" target="new">downloaded</a> from this ELM web portal.</p>
                    <p>This code has not been verifitied by this ELM web portal. Researchers can refer to the contributor for any questions/insutrations.</p>
                    <p></p>
                    <p> </p>
                    <h1><strong>Other ELM Related Source Codes</strong></h1>
              <h2>Protein and genome analysis - <a href="http://www.biocomp.unibo.it/~savojard/betawarecl/" target="_blank">BETAWARE</a></h2>
              <p>C. Savojardo, P. Fariselli, and R. Casadio, ¡°BETAWARE: a  machine-learning tool to detect and predict transmembrane beta barrel proteins  in Prokaryotes,¡± <em>Bioinformatics</em>, Jan  13 2013. [source-codes link: <a href="http://www.biocomp.unibo.it/~savojard/betawarecl/" target="_blank">BETAWARE</a>] (for protein and genome analysis)</p>
              <p> </p>
                <h2>Predicion of electronic excitation energies of BODIPY fluorescent dyes - <a href="http://202.198.129.218/" target="new">EEEBPre</a></h2>
                <p>J.-N. Wang, J.-L. Jin, Y. Geng, S.-L. Sun, H.-L. Xu, Y.-H. Lu and Z.-M. Su, "An accurate and efficient method to predict the electronic excitation energies of BODIPY fluorescent dyes," <em>Journal of Computational Chemistry</em>, vol. 34, no. 7, pp. 566-575, 2013 [Free Online Web Service:<a href="http://202.198.129.218/" target="new">EEEBPre</a> -ELM based prediction of electronic excitation energies for BODIPY dyes, which is   freely accessible to public at the web site: http://202.198.129.218, has been   built for prediction by the authors. This web server can return the predicted electronic   excitation energy values of BODIPY dyes that are high consistent with the   experimental values. The authors hope that this web server would be helpful to   theoretical and experimental chemists in related research.]</p>
                <p> </p>
                <h2>Weighted ELM for imbalanced datasets - <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/Weighted-ELM.zip" target="new">Weighted-ELM</a></h2>
                <p>W. Zong, G.-B. Huang, and  Y. Chen, ¡°Weighted extreme learning machine for imbalance  learning,¡± <em>Neurocomputing</em>,  vol. 101, pp. 229-242, 2013.</p>
                <p> </p>
                <h2>Bidirectional extreme learning machine - <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/B-ELM.zip">B-ELM</a></h2>
                <p>Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness," <em>IEEE Transactions on Neural Networks and Learning Systems</em>, Vol. 23, pp. 1498 - 1505, 2012</p>
                <p> </p>
                <h2>Evolutionary ELM - <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/SaDE-ELM.rar">SaDE-ELM</a></h2>
                <p>J. Cao, Z. Lin, and G.-B. Huang,  ¡°Self-adaptive evolutionary extreme learning machine,¡± <em>Neural Processing  Letters</em>, vol. 36, pp.  285-305, 2012. </p>
                <p> </p>
                <h2>Fully complex ELM - <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/Compelx-ELM.zip" target="new">C-ELM</a></h2>
                <p>M.-B. Li, G.-B.  Huang, P. Saratchandran, and N. Sundararajan, ¡°Fully Complex Extreme  Learning Machine,¡± <em>Neurocomputing</em><strong>, </strong>vol. 68, pp. 306-314, 2005.</p>
                <p> </p>
                <h2>Online Sequential ELM - <a href="http://www.ntu.edu.sg/home/egbhuang/source_codes/OS-ELM.zip" target="new">OS-ELM</a></h2>
                <p>N.-Y. Liang, G.-B. Huang, P. Saratchandran,  and N. Sundararajan, ¡°A  Fast and Accurate On-line Sequential Learning Algorithm for Feedforward  Networks," <em>IEEE Transactions on Neural Networks</em>, vol. 17, no. 6, pp. 1411-1423, 2006 </p>
                <p> </p>
              <p> </p>
              <p>If you have ELM related source codes to share with others throught ELM web portal, please <a href="mailto:elm201x@gmail.com">contact us</a>.</p>
			  </div>
			<!-- InstanceEndEditable --><!-- InstanceBeginEditable name="sidebar" -->
			<div class="contentright">
				<h1>Coming Events</h1>
                <p><strong><a href="http://www.ntu.edu.sg/home/egbhuang/ELM2013/index.html" target="new">International Conference on Extreme Learning Machines (ELM2013)</a></strong></p>
                <p>Beijing, October 15 - 17 2013</p>
                <p><strong>Organized by:</strong></p>
                <p><a href="http://www.tsinghua.edu.cn/">Tsinghua University</a>, China<br>
                  <a href="http://www.ntu.edu.sg/">Nanyang Technological University</a>,	Singapore <br>
                  <a href="http://www.neu.edu.cn/">Northeastern University</a>, China</p>
                <p> </p>
                <p>Useful links:</p>
                <p><strong><a href="http://nical.ustc.edu.cn/ideal13/" target="new">The 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013)</a></strong></p>
                <p>Hefei, China 20-23 October 2013</p>
                <p>Organzied by The USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications</p>
			</div>
			<!-- InstanceEndEditable -->
			<div style="clear:both;"></div>
			</div>
		</div>
		<div class="footerArea">
			<div class="container"> 
				<div class="copyright">
				  <p>© 2013 www.extreme-learning-machines.org.  All rights reserved. Best view with Google Chrome</p>
				  <p> </p>
				</div>
			</div>
		</div>
		
		<script type="text/javascript">
		<!--
		var MenuBar1 = new Spry.Widget.MenuBar("MenuBar1", {imgDown:"SpryAssets/SpryMenuBarDownHover.gif", imgRight:"SpryAssets/SpryMenuBarRightHover.gif"});
		//-->
		</script>
        <p class="MsoNormal"><span style="font-size:8.0pt;mso-bidi-font-size:12.0pt"><script language="JavaScript" type="text/javascript" src="./Extreme Learning Machines   Source Codes_files/basic.js"> 
</script><script language="JavaScript" type="text/javascript"> 
<!--
  nedstatbasic("AC1OWgX61rBBQ1q86U0+IcHprARQ", 0);
// -->
</script><a target="_blank" href="http://webstats.motigo.com/stats?AC1OWgX61rBBQ1q86U0+IcHprARQ"><img src="./Extreme Learning Machines   Source Codes_files/n" border="0" width="18" height="18" alt="Webstats4U - Free web site statistics"></a><script language="JavaScript" type="text/javascript" src="./Extreme Learning Machines   Source Codes_files/md.js"></script><script type="text/javascript" language="javascript" src="./Extreme Learning Machines   Source Codes_files/eas"></script><script src="./Extreme Learning Machines   Source Codes_files/EAS_tag.1.0.js"></script><script language="JavaScript" src="./Extreme Learning Machines   Source Codes_files/eas(1)" type="text/javascript"></script><a target="_blank" href="http://emediate.apmmedia.net/eas?camp=9249::cu=625::no=12604::ty=ct::kw1=webstats::kw2=2::uuid=77b86f5c-e161-11e2-b4e9-0026b928e810::cman1=1588::cman2=2869::csit=111111111111111111"><img src="./Extreme Learning Machines   Source Codes_files/spacer.gif" alt="Click here" width="1" height="1" style="border:0px"></a></span><a href="http://www.nedstatbasic.net/stats?AC1OWgX61rBBQ1q86U0+IcHprARQ" target="_blank"><span style="mso-no-proof:yes;text-decoration:none;text-underline:
none"><img border="0" width="19" height="19" id="_x0000_i1029" src="./Extreme Learning Machines   Source Codes_files/n(1)" alt="Nedstat Basic - Free web site statistics
Personal homepage website counter"></span></a><br>
<a href="http://www.nedstatbasic.net/" target="_blank">Free counter</a> <i><span style="font-size:7.5pt">Last <span class="GramE">update :</span> 

	
<!-- InstanceEnd -->
</span></i></p></body></html>