Introduction: Visual sleep-stage scoring is a time-consuming technique that cannot extract the nonlinear characteristics of electroencephalogram (EEG). This article presents a novel method for sleep-s
Dataset contains: - Raw outputs from training runs of positronic beryllium oxide raw walker positions obtained from inference runs of positronic beryllium oxide, and histogrammed walker positions. Th
Abstract A neural net program for pattern classification is presented, which includes: i) an improved version of Kohonen's learning vector quantization (LVQ with training count); ii) feed-forward ne
