Neural Networks To Analyze Market Demographic Data

In a matter of days we have used my customizable software package to grow O.T.I.'s Facebook page likes from 10k to almost 18k likes. From the graph presented in the updated pdf, you can clearly see the impact our training phase had on the advertising performance, showcasing how the software package's suggestions increased/decreased page engagement. Once the training phase was completed a sharp increase in page likes, fan enagement, and shares was observed. An increase in external online traffic at the website and blog, as well as offline traffic was also observed. We will be putting together a full report on this software once we have completed our investigation. It is versatile, and our results suggest that it can be customized to any page producing any content. We have used similar generic engines, powered by neural networks, to locate patterns in other areas of science (reaction prediction software). The key to our work is a series of custom neural networks. A group to locate patterns, and another series of groups for additional pattern analysis once key parameters have been identified. This software package has significant commercial value and utilizes novel concepts in computer science/probability that will not be described publicly for proprietary reasons.