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Description: s file contains the Joone Distributed training Environment (DTE).
See http://www.jooneworld.com/docs/dte.html to learn more about it.
To learn more about Joone - Java Object Oriented Neural Engine: http://www.joone.org
Joone and the DTE are both released with the LGPL license
@2004 Paolo Marrone and the Joone team - All rights reserved
====================================================================
Credits
The Joone DTE uses the following external packages:
- SUN Jini Network Technology http://wwws.sun.com/software/jini/index.html
- Computefarm Framework http://computefarm.jini.org
- Spring Framework http://www.springframework.org
We want to thank all the authors and contributors of the above packages.
Please read the respective licenses contained in this distribution.
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Author: yaying |
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Description: joone-2.0
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Description: 这是一个神经网络的开发工具-This is a neural network development tools
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Description: Java Object Oriented Neural Engine是一个用Java写的神经网络框架。它由一个核心引擎,一个GUI编辑器和一个分布式训练环境组成。可以通过写新的模块来扩展它,以实现新的算法或始于基础组件的新的体系结构。-Java Object Oriented Neural Engine is a Java was the neural network framework. It consists of a core engine, a GUI editor and a component of distributed training environment. By writing new modules to expand it to meet new algorithm based components or starts a new architecture.
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Description: 一个用java 编写的功能强大的神经网络类库,使用方便-a prepared with a powerful neural network library, easy to use
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Description: Java编写的BP解决XOR问题,用到JOONE集成在JAR包中,大家有兴趣下载-Java prepared BP solution XOR problem, use Joone integrated package in the JAR, we are interested in downloading
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Author: 陈兵 |
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Author: yaying |
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Description: Joone神经网络开源--框架完全手册,但是,是英文的。不过很值得一看,-Joone neural network revenue- the framework of full manual, however, is English. But it is worth a visit,
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Author: 张健 |
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Description: 一个纯java写的神经网络源代码,功能很强大!-Java written in a pure neural network source code, function very powerful!
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Author: 郑勇 |
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Description:
Prune a JOONE neural network with a selective prune algorithm.
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Size: 8192 |
Author: stryker |
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Description: JOONE(Java Object Oriented Neural Network)是sourceforge.net上一个用java语言迅速开发神经网络的开源项目,灵活的运用joone,可以迅速的开发各种神经网络。-JOONE (Java Object Oriented Neural Network) is a sourceforge.net with java language on a neural network to rapidly develop open-source project, flexible use of joone, can quickly develop a variety of neural networks.
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Description: Joone engine的详细说明文档,与joone-engine-src配套使用,更深入了解Joone的各种特性-Joone engine detailed description of the document, and joone-engine-src package to use, more in-depth understanding of the various characteristics of Joone
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Size: 1317888 |
Author: burning |
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Description: This a test program which gives the output in the form of sin(x), where x is the input to the neural network. It uses SineLayer class of JOONE.-This is a test program which gives the output in the form of sin(x), where x is the input to the neural network. It uses SineLayer class of JOONE.
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Size: 3072 |
Author: Vipul |
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Description: 神经网络的工具库文件,含神经网络需要的各种操作算法-Neural network tool for libraries, including neural network algorithm for the various operations required
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Author: joshua |
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Description: JOONE(Java Object Oriented Neural Network)是sourceforge.net上一个用java语言迅速开发神经网络的开源项目,灵活的运用joone,可以迅速的开发各种神经网络。-JOONE (Java Object Oriented Neural Network) is an open source project on sourceforge.net rapid development of neural networks with java language, flexible use joone, you can quickly develop a variety of neural networks.
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Size: 2683904 |
Author: 吴龙 |
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Description: 基于joone编写的bp神经网络算法,并用到中文分词中,其中以“这支歌太平淡无味了”分词为例, 这支/歌/太/平淡/无味/了 为正确结果,分别获取两者的unicode的二进制形式作为输入样本和期望样本进行训练和测试。-Based joone written bp neural network algorithm, and used in Chinese word, unicode binary form as the input sample and expectations samples for training and testing.
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Size: 13312 |
Author: huangke |
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Description: JOONE是sourceforge上一个用java语言迅速开发神经网络的开源项目。该文件是joone的源码-JOONE is an open source project on sourceforge quickly develop neural networks with java.This file is joone s source file
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Size: 460800 |
Author: huangke |
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Description: joone包,上传备份一下,觉得有用的可拿去。(Joone package, upload backup, feel useful can be taken.)
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Author: QQjiade |
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