ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series,etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments.
Visa hela texten
Passar bra ihop
+
De som köpt den här boken har ofta också köpt
Proceedings of ELM-2016
av Jiuwen Cao, Erik Cambria, Amaury Lendasse, Yoan Miche, Chi Man Vong
(previously published in hardcover).