Back Propagation will be used to scan for patterns or transform and filter data. The design and dispersion of these tools over a network and within cloud clients and hosts will be explored. These ANN tools can be joined by other authors tools. The metric's of performance such as: memory used, accurcy and speed will be examined. The metrics then can promote confidence in any one given ANN methodology or use.
Metrics should cover the following
- CPU PC ANN Methodology Speed and Accuracy Measurements
- Cloud, GPU, and Other Massively Parallizable Processing Methodologies Comparisons