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USING PROBABILISTIC NEURAL NETWORKS FOR ATTRIBUTE ASSESSMENT AND GENERAL REGRESSION

USING PROBABILISTIC NEURAL NETWORKS FOR ATTRIBUTE ASSESSMENT AND GENERAL REGRESSION. By. David Lubo -Robles*, Thang Ha, S. Lakshmivarahan , and Kurt J. Marfurt. The University of Oklahoma. AASPI. Conclusions. Case study. MLFN vs . PNN. Workflow. Introduction. Optimize. GRNN.

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Technique exhaustive grnn - PowerPoint PPT Presentation

USING PROBABILISTIC NEURAL NETWORKS FOR ATTRIBUTE ASSESSMENT AND GENERAL REGRESSION