Proceedings of ELM 2021

Discover the groundbreaking insights of the "Proceedings of ELM 2021," expertly edited by Kaj-Mikael Björk and published by Springer International Publishing AG in 2023. This hardback edition spans 172 pages and delves into the innovative ELM learning theories, which reveal how effective learning algorithms can be developed using randomly generated hidden neurons. These neurons can take various forms, including biological neurons, artificial neurons, wavelets, and Fourier series, all while maintaining their nonlinear piecewise continuous nature. The findings presented in this volume are independent of training data and application environments, making it a vital resource for researchers and practitioners in the field of machine learning. Enhance your understanding of ELM and its applications by adding this essential book to your collection today!