NeuroSolutions for MATLAB神經網絡工具箱是MATLAB的技術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種神經模型,5種學習算法和大量集成的應用在一個簡單易用的用戶界面中,甚至幾乎對神經網絡無任何了解的用戶都可以使用該產品。該工具箱也與NeuroSolutions進行了集成,使得用戶可以在NeuroSolutions中創建自定義的神經網絡,并通過NeuroSolutions for MATLAB的用戶界面在MATLAB中對其進行使用。
The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions inside MATLAB. The toolbox features 16 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires "next to no knowledge" of neural networks to begin using the product. The toolbox is also integrated with NeuroSolutions, which enables users to build custom networks in NeuroSolutions and use them inside MATLAB using the NeuroSolutions for MATLAB interface.
主要功能
該工具箱支持以下神經網絡的變形:
多層感知機
通用前饋神經網絡
概率神經網絡
模塊化神經網絡
支持向量機
部分循環神經網絡
完全循環神經網絡
延遲循環神經網絡
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
Features:
The toolbox features several variants of the following neural models:
- Multi-Layer Perceptron
- Generalized Feed Forward network
- NEW Probabilistic neural network
- Modular neural network
- Support Vector Machine
- Partially Recurrent neural network
- Fully Recurrent neural network
- Time-Lag Recurrent neural network
The following 6 learning algorithms are featured along with the powerful Levenberg-Marquardt method:
- Step
- Momentum
- Quickprop
- Delta-Bar-delta
- Conjugate Gradient
- Levenberg-Marquardt