Artificial Neural Networks and Machine Learning – ICANN 2017

Discover the cutting-edge insights from the 26th International Conference on Artificial Neural Networks, ICANN 2017, with the two-volume set titled Artificial Neural Networks and Machine Learning – ICANN 2017, edited by Alessandra Lintas. Published by Springer International Publishing AG in 2017, this comprehensive collection spans 801 pages and features 128 meticulously reviewed papers selected from over 270 submissions. This first edition is an invaluable resource for researchers and practitioners in the fields of artificial intelligence and machine learning. Delve into the latest advancements and methodologies in neural networks, and enhance your understanding of this rapidly evolving discipline. Whether you're a student, researcher, or industry professional, this book is essential for anyone looking to stay ahead in the world of AI.