| NeuroSolutions for MATLAB 2.00 ( View screenshot ) |
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| 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 (www.neurosolutions.com) inside MATLAB and Simulink. |
| Other software from this author: | - TradingSolutions 3.1 — Financial analysis and investment software that combines traditional technical indicators with state-of-the-art neural network and genetic algorithm technologies to create remarkably effective trading models for stocks, futures and forex.
- NeuroSolutions 5.02 — NeuroSolutions is a highly graphical neural network development tool for Windows. It is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems.
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Description:
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 (www.neurosolutions.com) inside MATLAB and Simulink. The toolbox features 15 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 it inside Matlab using the NeuroSolutions for Matlab interface. The free evaluation edition of NeuroSolutions for MATLAB includes several demos that will walk you step-by-step through the product. In addition, you can experiment with all of the features of this product using your own data. See how easy it is to solve your problems using neural networks inside the MATLAB environment. | System Requirements:
16MB RAM, 40MB Free Disk, MATLAB 5 or higher | | NeuroSolutions for MATLAB 2.00 Download from nddownloads1.com |
| Similar software: | - LTF-Cimulator 1.0 — LTF-Cimulator is software for easy simulation and development of LTF-C neural networks. You can train and test a network, save it in a readable text format or perform cross-validation. Training parameters can be chosen automatically by LTF-Cimulator.
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