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Pattern Recognition Neural Networks in Classification Groups of Partial Removable Dentures Lifetime
2014
Journal of Dentistry Oral Disorders and Therapy
Classification is one of the most common research work associated with neural networks. This paper cast lighton the use of this technique as a robust statistical procedure for modeling data regarding problem of classification groups of partial removable dentures lifetime. Groups are either 1 which refers to lifetime exceeds average, and 0 which refers to lifetime less than or equal average lifetime. The main purpose of this work is to provide a new technique of classification as well as to
doi:10.15226/jdodt.2014.00112
fatcat:64p573d4sng3dgiz6qd6fduk7m