Ensembled PCA-ELM for the Prediction of Diseases in Rice Leaves

Abstract

The conventional wisdom acknowledges the universal approximation capabilities of singlehidden-layer feedforward networks (SLFNs) employing additive models. Nevertheless, the efficiency of training such models was notably sluggish until the advent of the extreme learning machine (ELM) introduced by Huang et al.