Refactor a Reduced Coulomb Energy neural network implementation from Matlab into R Tidyverse with pipes, tibbles, functional operations, and vectorized distance calculations. Compares loop-based Matlab patterns with tidy data workflows for...
Satellite system engineers consider the narrow beams (which lend themselves to frequency reuse) and high data rates of Ka band channels attractive for communication systems [Khan 2]. As a result, the satellite community witnessed a great increase...
Introduction Machine Learning engineers use Probabilistic Neural Networks (PNN) for classification and pattern recognition tasks. PNN use a Parzen Window along with a non-negative kernel function to estimate the probability distribution function...
Introduction I investigate the effectiveness of a Reduced Coulomb Energy (RCE) Neural Network on the classification of the University of California, Irvine (UCI) Bupa liver disorder data set. I investigate seven (7) different versions of the data...