Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons

Discover the groundbreaking insights in "Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons" by Julian Knaup. Published in 2022 by Springer Fachmedien Wiesbaden, this 77-page paperback delves into the innovative world of multilayer neural networks utilizing multi-valued neurons (MLMVNs). This book explores how MLMVNs effectively merge the benefits of complex-valued neural networks with a straightforward derivative-free learning algorithm. Ideal for researchers and practitioners in the field of machine learning and neural network design, this first edition is a must-have resource for understanding advanced classification techniques. Enhance your knowledge and stay ahead in the rapidly evolving landscape of artificial intelligence with this essential read.