Neural network software imports data into a grid for training. This program forces input values to exceed limit boundaries while predicting output values.

The software then creates a new neural network based on the new inputs and forecasted outputs, which are compared to the original neural network. This process continues until a new neural network is generated that agrees with the original regarding the forecasts.
Once the forecasts are added to the grid, they are at your disposal, allowing you to utilize the software's predictions to your advantage. Overall, this software enables accurate and reliable forecasting by utilizing a powerful neural network and continually tweaking input values to optimize results.
Version 3.0:
Hidden Pattern forecasting added.
Performance improved.