Extreme Learning Machine

Extreme Learning Machines (ELMs) are a type of neural network designed for rapid training and robust generalization, achieving this by randomly initializing hidden layer weights and focusing optimization on the output layer. Current research emphasizes ELM applications in diverse fields, including time-series analysis (e.g., for predicting cerebral blood flow or detecting anomalies in UAV data), solving partial differential equations, and various classification tasks (e.g., power quality event recognition, facial emotion recognition). The speed and efficiency of ELMs, coupled with their demonstrated accuracy in numerous applications, make them a significant tool for addressing computationally intensive problems across numerous scientific and engineering domains.