Neural network potential is as large as the globe itself, and its uses range anywhere from identifying potential terrorists to making better currency trades, from testing pharmaceuticals to predicting the flavor of wine.
The neural network toolbox for today’s business is incredible. It includes neural network analysis with user-friendly, graphical tools, providing the best solutions for your research and data mining. When shopping for neural network software, keep these steps in mind.
1. Determine the type of neural network you need for your business.
2. Consider your budget. Shop the competition before you buy.
3. Download a working copy of the trial software, and read any documentation offered by the vendor, including white papers.
Get the most use out of neural network tools for your applicationsThere are three basic steps in neural network analysis. First, you need to train the network on your existing data. Next, you'll need to test the network for accuracy against your existing data. Then, you will want to start making predictions from newly gathered data. After your initial network setup, testing, and successful predictions, you will want to look into more advanced systems for future consideration.
Customize your neural network toolboxAs your business grows you will want to purchase software that allows you to customize your neural network system. A great feature to look for in the vendor's software is the dynamic link library (DLL). If you want to build your own custom design neural computer network, you'll have about 15 modules to choose from with a bigger vendor like NeuroSolutions.
Test your neural network software product's effectiveness and compatibilityIt is important to assess the compatibility of products offered by a neural network company with the needs of your business.
- Don't just settle for a peek slide show of promises and nifty graphics for neural computer networking. Select the vendor that is confident about their neural network application, allowing you to evaluate their neural network application firsthand.