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		<Company_Name>Neural Decision Lab LLC</Company_Name>
		<Address_1>2611 Jessup Tr.</Address_1>
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		<City_Town>Arlington</City_Town>
		<State_Province>Texas</State_Province>
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		<Country>United States</Country>
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			<Author_First_Name>Mike</Author_First_Name>
			<Author_Last_Name>Manry</Author_Last_Name>
			<Author_Email>manry@NeuralDL.com</Author_Email>
			<Contact_First_Name>Mike</Contact_First_Name>
			<Contact_Last_Name>Manry</Contact_Last_Name>
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			<Support_Email>support@NeuralDL.com</Support_Email>
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			<Sales_Phone>817-507-5276</Sales_Phone>
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		<Program_Name>Nuclass7</Program_Name>
		<Program_Version>7.1</Program_Version>
		<Program_Release_Month>09</Program_Release_Month>
		<Program_Release_Day>25</Program_Release_Day>
		<Program_Release_Year>2007</Program_Release_Year>
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		<Program_OS_Support>Windows2000,WinXP,Windows2003</Program_OS_Support>
		<Program_Language>English</Program_Language>
		<Program_Change_Info>Faster algorithms, Improved feature selection</Program_Change_Info>
		<Program_Specific_Category>Development Tools</Program_Specific_Category>
		<Program_Category_Class>Business::Math &amp; Scientific Tools</Program_Category_Class>
		<Program_Categories>pattern recognition, scientific software, miscellaneous, Developement Tools</Program_Categories>
		<Program_System_Requirements>Windows 2000 or XP, 32MB RAM, 25MB hard disk space</Program_System_Requirements>
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	<Program_Descriptions>
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			<Keywords>neural network, multilayer perceptron, fast training, validation, classification, nearest neighbor classifier</Keywords>
			<Char_Desc_45>Fast training of classification type networks</Char_Desc_45>
			<Char_Desc_80>Freeware for fast development,application of neural and conventional classifiers</Char_Desc_80>
			<Char_Desc_250>Freeware for fast training, validation, and application of neural and conventional classifiers including  MLP, functional link net, piecewise linear net, nearest neighbor classifier, self organizing map. Extensive help. C source for trained nets</Char_Desc_250>
			<Char_Desc_450>Freeware for fast training, validation, and application of neural and conventional classifiers  including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Pruning for approximate structural risk minimization.</Char_Desc_450>
			<Char_Desc_2000>Freeware for fast training, validation, and application of classification type networks including the multilayer perceptron (MLP), functional link network, piecewise linear network, and nearest neighbor classifier. The self organizing map (SOM) and K-Means clustering are also included. Fast pruning algorithms create a nested sequence of different size networks, to facilitate structural risk minimization.  C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network classification error and SOM cluster formation are included. Extensive help files are provided in the software.
       Nuclass7 is highly automated and requires very few parameter choices by the user. This version runs significantly faster. Advanced features include network sizing and feature selection. Training data can be compressed using the discrete Karhunen-Loeve' transform (KLT). This Basic version of Nuclass7 limits the MLP to 10 hidden units, the PLN to 10 clusters, and the NNC to 50 clusters.  Upgradable to the  commercial version, which lacks these limitations. The regression/approximation version of this software, called Numap7, is also available. Nuclass7 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and  by Neural Decision Lab LLC.
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		<Application_URLs>
			<Application_Info_URL>http://www.neuraldl.com/Software.php</Application_Info_URL>
			<Application_Order_URL>http://www.neuraldl.com/NCLimit.htm</Application_Order_URL>
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			<Primary_Download_URL>http://www-ee.uta.edu/eeweb/ip/software/classification/NuClass71.zip</Primary_Download_URL>
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	<Permissions>
		<Distribution_Permissions>This upgradable Basic version of NuClass7 may be distributed anywhere, free of charge.















</Distribution_Permissions>
		<EULA>NUCLASS7 (Basic Version) - PRODUCT LICENSE INFORMATION

NOTICE TO USERS: CAREFULLY READ THE FOLLOWING LEGAL AGREEMENT.  USE OF THE SOFTWARE PROVIDED WITH THIS AGREEMENT (THE "SOFTWARE") CONSTITUTES YOUR ACCEPTANCE OF THESE TERMS.  IF YOU DO NOT AGREE TO THE TERMS OF THIS AGREEMENT, DO NOT INSTALL AND/OR USE THIS SOFTWARE.  USER'S USE OF THIS SOFTWARE IS CONDITIONED UPON COMPLIANCE BY USER WITH THE TERMS OF THIS AGREEMENT.

1. LICENSE GRANT.  IPNNL grants you a license to use one or more copies of the demo version of this SOFTWARE on as many systems as you like. "You" means the company, entity or individual who uses the SOFTWARE.  "Use" means storing, loading, installing, executing or displaying the SOFTWARE.  You may not modify the SOFTWARE or disable any licensing or control features of the SOFTWARE except as an intended part of the SOFTWARE's programming features.  This license is transferable to any other system, or to another organization or individual.  

2. OWNERSHIP.  The SOFTWARE is owned and copyrighted by IPNNL.  Your license confers no title or ownership in the SOFTWARE and should not be construed as a sale of any right in the SOFTWARE .  

3. COPYRIGHT.  The SOFTWARE is protected by United States copyright law and international treaty provisions. You acknowledge that no title to the intellectual property in the SOFTWARE is transferred to you.  You further acknowledge that title and full ownership rights to the SOFTWARE will remain the exclusive property of IPNNL and you will not acquire any rights to the SOFTWARE except as expressly set forth in this license. You agree that any copies of the SOFTWARE will contain the same proprietary notices which appear on and in the SOFTWARE.

4. REVERSE ENGINEERING. You agree that you will not attempt to reverse compile, modify, translate, or disassemble the SOFTWARE in whole or in part.

5. NO OTHER WARRANTIES.  IPNNL DOES NOT WARRANT THAT THE SOFTWARE IS ERROR FREE. IPNNL DISCLAIMS ALL OTHER WARRANTIES WITH RESPECT TO THE SOFTWARE, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF THIRD PARTY RIGHTS.  SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OF IMPLIED WARRANTIES OR LIMITATIONS ON HOW LONG AN IMPLIED WARRANTY MAY LAST, OR THE EXCLUSION OR LIMITATION OF INCIDENTAL OR CONSEQUENTIAL DAMAGES, SO THE ABOVE LIMITATIONS OR EXCLUSIONS MAY NOT APPLY TO YOU.  THIS WARRANTY GIVES YOU SPECIFIC LEGAL RIGHTS AND YOU MAY ALSO HAVE OTHER RIGHTS WHICH VARY FROM JURISDICTION TO JURISDICTION. 

6. SEVERABILITY.  In the event of invalidity of any provision of this license, the parties agree that such invalidity shall not affect the validity of the remaining portions of this license.  

7. NO LIABILITY FOR CONSEQUENTIAL DAMAGES.  IN NO EVENT SHALL IPNNL OR ITS SUPPLIERS BE LIABLE TO YOU FOR ANY CONSEQUENTIAL, SPECIAL, INCIDENTAL OR INDIRECT DAMAGES OF ANY KIND ARISING OUT OF THE DELIVERY, PERFO









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