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项目描述

Joone (Java Object Oriented Neural Engine) is an artificial neural network Java framework. It is used to build and train neural networks with a powerful visual environment. It has a modular design and can be easily extended by writing new modules to implement new learning algorithms or architectures.

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2007-01-19 01:41
2.0.0 RC1

性能提高了50％，核心引擎沉重重构下，通过增加单线程模式。一套工具，加入以隐藏API的复杂性。一种新的图像的I / O组件已在阅读和书写顺序直接从添加/到图像文件。一个新的应用SoftMax层已被添加到建立能够解决问题的一C型神经网络。该物业小组的可用性得到了改进，采用新的文件选择面板和视觉日历小组。有几个错误是固定的文件一直与新功能更新。
标签: Major feature enhancements
Performance was improved by 50%, thanks to heavy refactoring of the core engine, by adding the single-thread mode. A set of tools was added in order to hide the complexity of the API. A new Image I/O component has been added in order read and write directly from/to image files. A new SoftMax Layer has been added to build neural networks able to resolve 1 of C classification problems. The usability of the property panels has been improved by adopting a new file chooser panel and a visual calendar panel. Several bugs were fixed and the documentation has been updated with the new features.

2005-09-09 16:53
1.2.1

此版本增加了对Groovy的脚本语言。LogarithmicPlugin已被添加支持，适用于对数转换（底数e）输入数据。 “保存为XML”已被添加到图形编辑器，以便能够保存XML格式的神经网络。中的一些漏洞已经被修复，其中包括一个问题，无法SangerSynapse时，从学习培训的模式。检查小组不再显示层中的本没有任何意义的偏见。此版本修正了当检查值复制到剪贴板中的第一列不足。
标签: Minor bugfixes
This release adds support for the Groovy scripting language.
LogarithmicPlugin has been added, to apply a logarithmic transformation
(base e) to input data. "Save as XML" has been added to the GUI Editor,
in order to permit saving a neural network in XML format. A number of
bugs have been fixed, including a problem that prevented SangerSynapse
from learning when in training mode. The inspection panel no longer
shows the biases for Layers for which this doesn't make sense. This
release fixes the lack of the first column when the inspected values
were copied in the clipboard.

2005-02-06 22:23
1.2.0

此版本增加了许多新功能，包括径向基函数，功能，一个新的输入连接器有用的共享几层之间的一个'新权初始化机制，新的学习算法等很多的缺陷已得到修复和相同的数据源文件已得到改进。
标签: Major feature enhancements
This release adds many new features, including the Radial Basis Function, a new Input Connector useful to share the same data source between several layers, a new weights' initializing mechanism, new learning algorithms, etc. A lot of bugs have been fixed and the documentation has been improved.

2004-09-20 17:24
0.8.0

分布式训练环境（DTE）的已被完全改写。核心框架现在有一个模块化的架构为基础的插件，使其易于扩展。 DTE也很容易配置，以确定使用一个简单而强大的参数文件以XML编写任何复杂的全球优化技术。新DTE的是符合最新的Sun Jini的2.0。
标签: Distributed Training Environment, Major feature enhancements
The Distributed Training Environment (DTE) has
been completely rewritten. The core framework now
has a modular architecture based on plugins,
making it easily expandable. The DTE is easily
configurable in order to define any complex global
optimization technique by using a simple and
powerful parameter file written in XML. The new
DTE is compliant with the latest Sun Jini 2.0.

2004-09-14 13:14
1.1.1

这个版本修复了'不'匹配模式的问题。该均方根未设置为0.0时，网络反序列化。一个NullPointerException固定在YahooFinanceInputSynapse没有输入数据时存在。在BatchLearner已得到修复才能使用的势头参数。
标签: Minor bugfixes
This version fixes the 'No matching patterns' problem. The
RMSE is not set to 0.0 when a network is deserialized. A
NullPointerException was fixed in the
YahooFinanceInputSynapse when no input data is present.
The BatchLearner has been fixed in order to use the
momentum parameter.

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