NeuronDotNet It is not as broad in its scope as AForge, but its exclusive focus on NN makes it maybe more readily accessible, and possibly more featured in this area.
Update: (December 2012) NeuronDotNet's old repository at http://neurondotnet.freehostia.com is defunct. The most recent source code, Version 3.0 is available on sourceforge, but this project is effectively inactive. Apparently, its original developer, and sole contributor, Vijeth Dinesha, has stopped updating and improving this code base. Thank you, Vijeth! Maybe someone will, some day, pick-up from where you left. Indeed, NeuronDotNet is a relatively mature framework and its simplicity and single focus make it attractive, compared with other frameworks where Neural Nets are just one feature/module therein.
Frameworks available on NuGet: (The content below was taken directly from the above referenced URL for persistence purposes.)
Accord.MachineLearning - Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
Encog Machine Learning Framework - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
Numl - A machine learning library intended to ease the use of using standard modeling techniques for both prediction and clustering
Download Weka and convert from the jar file (Java bytecode) to .NET Framework (managed) dll through IKVM. Weka is aknowledged by many as a very good open-source library for machine learning. It includes neural networks.
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最好的 .NET 神经网络库是 AForge
链接：
MainPage
CodeProject-文章
Best .NET neural network library is AForge
Links:
MainPage
CodeProject-Article
Encog 是一个适用于 Java 和 DotNet 的免费开源神经网络 API。
http://www.heatonresearch.com/encog
Encog is a free open source neural network API for both Java and DotNet.
http://www.heatonresearch.com/encog
如果这对其他人有帮助，MS SQL 有相当强大的内置神经网络支持< /a> 作为数据挖掘分析服务的一部分。
我知道 MS SQL 不是开源的，但如果您使用 .NET，您的数据可能已经在 SQL 中。
In case this helps anybody else, MS SQL has pretty robust built-in Neural Network support as part of Data Mining Analysis Services.
I know MS SQL isn't open source, but odds are if you are using .NET your data may already be in SQL.
NeuronDotNet 它的范围并不像AForge，但它对 NN 的专注使其可能更容易访问，并且可能在该领域更具特色。
更新：（2012 年 12 月）
NeuronDotNet 位于 http://neurondotnet.freehostia.com 的旧存储库已失效。
最新的源代码版本 3.0 可在 sourceforge 上找到，但该项目实际上处于非活动状态。显然，其原始开发人员和唯一贡献者 Vijeth Dinesha 已停止更新和改进此代码库。谢谢你，维杰斯！也许有一天有人会从你离开的地方接你。事实上，NeuronDotNet 是一个相对成熟的框架，与神经网络只是其中一个功能/模块的其他框架相比，它的简单性和单一焦点使其具有吸引力。
NeuronDotNet It is not as broad in its scope as AForge, but its exclusive focus on NN makes it maybe more readily accessible, and possibly more featured in this area.
Update: (December 2012)
NeuronDotNet's old repository at http://neurondotnet.freehostia.com is defunct.
The most recent source code, Version 3.0 is available on sourceforge, but this project is effectively inactive. Apparently, its original developer, and sole contributor, Vijeth Dinesha, has stopped updating and improving this code base. Thank you, Vijeth! Maybe someone will, some day, pick-up from where you left. Indeed, NeuronDotNet is a relatively mature framework and its simplicity and single focus make it attractive, compared with other frameworks where Neural Nets are just one feature/module therein.
以下是开源 .NET 机器学习的 F# 相关资源列表。
http://fsharp.org/machine-learning/
NuGet 上可用的框架：（以下内容是出于持久性目的，直接取自上述引用的 URL。）
Accord.MachineLearning - 包含支持向量机、决策树、朴素贝叶斯模型、K 均值、高斯混合模型和通用算法，例如 Ransac、交叉验证和网格- 搜索机器学习应用程序。该包是 Accord.NET Framework 的一部分。
Encog 机器学习框架 - 先进的神经网络和机器学习框架。 Encog 包含用于创建各种网络的类，以及用于标准化和处理这些神经网络数据的支持类。 Encog 使用多线程弹性传播进行训练。 Encog 还可以利用 GPU 进一步加快处理时间。还提供基于 GUI 的工作台来帮助建模和训练神经网络。
Numl - 一个机器学习库，旨在简化使用标准建模技术进行预测和聚类
Here is a list of F# related resources for open source .NET machine learning.
http://fsharp.org/machine-learning/
Frameworks available on NuGet: (The content below was taken directly from the above referenced URL for persistence purposes.)
Accord.MachineLearning - Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
Encog Machine Learning Framework - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
Numl - A machine learning library intended to ease the use of using standard modeling techniques for both prediction and clustering
据我所知： FANN 适合这两个类别。
From what I can see: FANN fits both of the categories.
下载 Weka 并将 jar 文件（Java 字节码）转换为 .NET通过 IKVM 的框架（托管）dll。 Weka 被许多人认为是一个非常好的机器学习开源库。它包括神经网络。
Download Weka and convert from the jar file (Java bytecode) to .NET Framework (managed) dll through IKVM. Weka is aknowledged by many as a very good open-source library for machine learning. It includes neural networks.
https://dotnet.github.io/infer/
Infer.NET 是一个用于在图形模型中运行贝叶斯推理的框架。
https://dotnet.github.io/infer/
Infer.NET is a framework for running Bayesian inference in graphical models.