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• NeuroSolutions for MATLAB神经网络工具箱是MATLAB的技术计算功能的一个非常有用的附加工具，其允许用户在MATLAB中使用NeuroSolutions的功能。该工具箱将16种神经模型，5种学习算法和大量集成的应用在一个简单易用的用户界面中，甚至几乎对神经网络无任何了解的用户都可以使用该产品。该工具箱也与NeuroSolutions进行了集成，使得用户可以在NeuroSolutions中创建自定义的神经网络，并通过NeuroSolutions for MATLAB的用户界面在MATLAB中对其进行使用。
• 该工具箱支持以下神经网络的变形：
• . 多层感知机
• . 通用前馈神经网络
• . 概率神经网络
• . 模块化神经网络
• . 支持向量机
• . 部分循环神经网络
• . 完全循环神经网络
• . 延迟循环神经网络
• 除了Levenberg-Marquardt方法以外，其还提供了以下6种学习算法
• .步骤法
• .动力法
• .Quickprop法
• .Delta-Bar-delta法
• .共轭梯度法
• .Levenberg-Marquardt法
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• NeuroSolutions for MATLAB更新至V4，更新的内容如下：
• ● 提升了在Windows 64位系统上的计算性能，优化了可执行代码，培训时间显著缩短。
• ● 弹性反向传播是前馈式人工神经网络中监督式学习的一张启发式的学习方法，仅次于夸特法（Levenberg-Marquardt）。弹性反向传播是目前非常快的权值更新算法之一。
• ● 在使用夸特法网络中将NeuroSolutions加速器扩展组件与NVIDIA™和OpenCL™显卡或处理器一起使用，训练时间从数小时提高到短短几分钟—这是反向传播学习非常有力的一种形式。
• ● NeuroSolutions for MATLAB的大部分已经重写使能以理想方式与MATLAB新的架构一起工作，包括支持R2013和32/64位的安装装置。
• NeuroSolutions for MATLAB neural network toolbox is a MATLAB；add-in that is easy-to-use and intuitive. It leverages the industry leading power of NeuroSolutions neural networks and artificial intelligence inside MATLAB. The software allows you to concentrate on solving your problem without having to spend many hours persuing neural network literature and developing the algorithms yourself.
• Easy to Use
• NeuroSolutions for MATLAB can be utilized by users with "next to no knowledge" of neural networks. Users who are familiar with MATLAB will be able to jump in and use the entire package within a few minutes. You can use NeuroSolutions for MATLAB for applications such as data fitting, pattern recognition, time-series prediction and much more.
• Powerful Engine
• NeuroSolutions for MALTAB features the neural network engine from industry leading NeuroSolutions. Supporting both 32- and 64-bit versions of MATLAB it is the most powerful way to use neural networks in MATLAB. For larger networks, use NVIDIA CUDA™ or OpenCL™ to enable training time improvements from hours to minutes when compared to traditinal CPU's.
• NeuroSolutions for MATLAB Suite
• NeuroSolutions for MATLAB is also integrated with NeuroSolutions through the NeuroSolutions for MATLAB Suite that enables users to build custom networks in NeuroSolutions, generate Windows-based DLL's for those networks using the Custom Solution Wizard and then use the DLL's inside NeuroSolutions for MATLAB.
• The toolbox features 16 neural network architectures, 7 learning algorithms and a host of useful utilities that enables one to employ the power of neural networks to solve complicated real-world problems.
• Neural Network Architectures:
• Multilayer Perceptron
• Generalized Feed Forward Network
• Probabilistic Neural Network
• Modular Neural Network
• Support Vector Machine
• Partially Recurrent Neural Network
• Fully Recurrent Neural Network
• Time-Lag Recurrent Neural Network
• Learning Algorithms:
• Step
• Momentum
• Resilent Backpropagation (RProp)
• Quickprop
• Delta-Bar-Delta
• Conjugate Gradient
• Levenberg-Marquardt
• The toolbox also includes several utilities including Symbolic Data Translation allows for using textual data as inputs to a neural network. The symbolic data translation function comes paired with the inverse translation function that translates data back to symbols once all other tasks are completed. The Image Flattening utility flattens an image into a single row of data, so that it can be fed into a neural network. The Performance Indicators function reveals how well the neural network has trained with statistical indicators.
• 64-bit computing
• Increase performance with Windows 64-bit computing and optimized executable code for significantly shorter training times!
• Resilient Backpropagation (RProp)
• Resilient Backpropagation is a learning heuristic for supervised learning in feed forward artifical neural networks. Next to Levenberg-Marquardt, Resilient Backpropagation is one of the fastest weight updating algorithms available.
• NeuroSolutions Accelerator Add-on
• See training time improvements from hours to minutes using NVIDIA™ and OpenCL™ graphics cards or processors with the NeuroSolutions Accelerator add-on on networks using Levenberg-Marquardt - the most powerful form of back-propagation learning available.
• Supporting R2013 and 64-bit MATLAB
• Much of NeuroSolutions for MATLAB has been rewritten to work with MATLAB's latest framework more optimally including support up to R2013 and 32- and 64-bit installations.
• Getting Started with NeuroSolutions for MATLAB
• Visit our Video Library page for more videos on NeuroSolutions and related products.
• Other Information
• Supported MATLAB Versions:
• 2008, 2009, 2010, 2011, 2012 & 2013 (32/64-bit for all supported versions)
• Still unsure about NeuroSolutions for MATLAB?