用于快速训练、验证和应用回归/近似网络的免费软件。快速修剪算法创建不同大小网络的嵌套序列。包括多层感知器（MLP）、功能链路网络、分段线性网络、自组织图（SOM）和K-Means聚类。提供了用于应用训练网络的 C 源代码，以便用户可以在自己的应用程序中使用网络。用户提供的 txt 格式训练数据文件（包含数字行）可以是任何大小。还提供了培训数据示例。包括用于网络训练错误和集群形成的快速 VB 图形。软件中提供了广泛的帮助文件。 Numap7 是高度自动化的，需要用户很少选择参数。高级功能包括快速 MLP 训练算法（比 BP 和 LM 更快、更好）、输入功能选择、无用单元（用于 MLP）的修剪（消除）和 PLN 模块。训练和验证错误与网络大小不同。提供用于计数模式、删除列、合并文件、拆分文件、计算列均值和标准偏差以及绘制列直方图的实用程序。训练数据可以使用离散的 Karhunen-Loeve 转换 （KLT） 进行压缩。此免费软件版本的 Numap7 将 MLP 限制在 10 个隐藏单元，将 PLN 限制在 10 个群集。可升级至缺乏这些限制的商业版本。此软件的分类（决策）版本（称为 Nuclass7）也可用。Numap7.0由位于阿灵顿的德克萨斯州大学图像处理和神经网络实验室和神经决策实验室有限责任公司开发。
版本历史记录
- 版本 7.06 发布于 2005-04-06
改进的帮助、更快的 MLP 验证、改进的功能选择
软件信息
- 软件分类： 业务 > 数学与科学工具
- 发布者： Neural Decision Lab LLC
- 许可： 免费
- 价格： N/A
- 版本： 7.06
- 适用平台： windows
终端用户许可协议
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