$GTCH As a PNN method typically is a major time-consuming process, GBT plans to invest in optimization algorithms and memory management to maintain the training performance. GBT will target the PNN to map and vectorize Kirlian images, with the goal of providing classifications according to patterns recurrence and consistencies. These identifiers will be investigated to define classes of potential health related phenomena and symptoms. The use of a PNN goal is to potentially reach a higher level of accuracy and robustness for Kirlian image processing, achieving advanced imaging categorization and conclusions that may provide health related information.
https://www.marketwatch.com/press-release/gbt...ws_seemore
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