5 Reasons to Use GMDH Shell
1. Forecasting with a Click
GMDH Shell lets you deal with any forecasting or data mining task with minimum efforts. Thanks to the GMDH forecasting method and state-of-the-art parallel processing technology underlying the program it is capable to deliver the most accurate time series forecasting, and it does this much faster than common artificial neural networks.
2. Proven Algorithms Inside
GMDH Shell is based on the GMDH forecasting method which is the advanced version of a classic regression analysis method developed in 60’s. We have further improved and perfected the algorithm making it a truly cutting-edge technology that still suits for a wide range of applications.
3. Versatile and Customizable
GMDH Shell powered by advanced math and is a versatile solution ideal for “turnkey” forecasting and easy time series analysis. At the same time, a full spectrum of parametric customization and free choice of forecast methods plus a load of industry-unique options allow to adjust the program to any specific task from biology and chemistry analysis to sales forecasting, stock market prediction, forex forecasting, inventory forecasting, electrical load forecasting, financial forecasting, business forecasting, demand forecasting, demand planning, time series analysis, curve fitting, neural network, data mining, data visualization, predictive modeling and predictive analytics.
4. Easy, Fast and Reliable
GMDH Shell utilizes your computer capabilities in full. It uses all cores and all CPUs it founds to perform calculations in parallel so to deliver results as fast as possible. GMDH Shell provides enterprise-class reliability so you can set it up to operate as a stand-alone and fully-automatic forecast server. The lightweight and easy-to-use interface doesn’t take long to master all that power.
5. Free Evaluation
You can download GMDH Shell for free right now. Additionally, we will be happy to create a demo project with your own data for you. This way you will be able to test and evaluate GMDH Shell’s performance with minimum efforts, at the same time reviewing your own data, not on a random sample.
Feel free to contact us, if you have any additional questions, we will be happy to answer.By Gleb Koshulko