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• NeuroSolutions for MATLAB神經(jīng)網(wǎng)絡(luò)工具箱是MATLAB的技術(shù)計算功能的一個非常有用的附加工具，其允許用戶在MATLAB中使用NeuroSolutions的功能。該工具箱將16種神經(jīng)模型，5種學習算法和大量集成的應(yīng)用在一個簡單易用的用戶界面中，甚至幾乎對神經(jīng)網(wǎng)絡(luò)無任何了解的用戶都可以使用該產(chǎn)品。該工具箱也與NeuroSolutions進行了集成，使得用戶可以在NeuroSolutions中創(chuàng)建自定義的神經(jīng)網(wǎng)絡(luò)，并通過NeuroSolutions for MATLAB的用戶界面在MATLAB中對其進行使用。
• 該工具箱支持以下神經(jīng)網(wǎng)絡(luò)的變形：
• . 多層感知機
• . 通用前饋神經(jīng)網(wǎng)絡(luò)
• . 概率神經(jīng)網(wǎng)絡(luò)
• . 模塊化神經(jīng)網(wǎng)絡(luò)
• . 支持向量機
• . 部分循環(huán)神經(jīng)網(wǎng)絡(luò)
• . 完全循環(huán)神經(jīng)網(wǎng)絡(luò)
• . 延遲循環(huán)神經(jīng)網(wǎng)絡(luò)
• 除了Levenberg-Marquardt方法以外，其還提供了以下6種學習算法
• .步驟法
• .動力法
• .Quickprop法
• .Delta-Bar-delta法
• .共軛梯度法
• .Levenberg-Marquardt法
• ?
• NeuroSolutions for MATLAB更新至V4，更新的內(nèi)容如下：
• ● 提升了在Windows 64位系統(tǒng)上的計算性能，優(yōu)化了可執(zhí)行代碼，培訓時間顯著縮短。
• ● 彈性反向傳播是前饋式人工神經(jīng)網(wǎng)絡(luò)中監(jiān)督式學習的一張啟發(fā)式的學習方法，僅次于夸特法（Levenberg-Marquardt）。彈性反向傳播是目前非?？斓臋?quán)值更新算法之一。
• ● 在使用夸特法網(wǎng)絡(luò)中將NeuroSolutions加速器擴展組件與NVIDIA?和OpenCL?顯卡或處理器一起使用，訓練時間從數(shù)小時提高到短短幾分鐘—這是反向傳播學習非常有力的一種形式。
• ● NeuroSolutions for MATLAB的大部分已經(jīng)重寫使能以理想方式與MATLAB新的架構(gòu)一起工作，包括支持R2013和32/64位的安裝裝置。
• 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?