Proceedings of ELM-2017

Discover the innovative insights of the Proceedings of ELM-2017, expertly compiled by Jiuwen Cao and published by Springer Nature Switzerland AG in 2019. This comprehensive volume spans 340 pages and delves into the groundbreaking ELM (Extreme Learning Machine) learning theories. It reveals how effective learning algorithms can be developed using randomly generated hidden neurons, including biological neurons, artificial neurons, wavelets, and Fourier series. These algorithms are characterized by their nonlinear piecewise continuity, making them versatile across various training data and application environments. This book is an essential resource for researchers and practitioners looking to enhance their understanding of machine learning methodologies. Don’t miss out on this pivotal addition to your library!