YELM, a modified extreme learning machine, is an algorithm, using Sigmoidal function as activation function, which trains a single-hidden layer forward neural network (SFNN).
YELM Demo for Diabetes Version 1.0
YELM trains a single hidden layer forward neural network with Sigmoidal function as activation function
Using rank-1 and rank-2 methods to obtain the optimal estimate for the output weights when column and row ranks of the hidden layer output matrix are not full