Artificial Neural Networks and Machine Learning - ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III

The 4-volume set of LNCS 13529, 13530, 13531, and 13532 contains the proceedings of ICANN 2022, a conference on artificial neural networks held in Bristol, UK, with 255 full papers and strong cross-disciplinary interactions and applications.

Format: Paperback / softback
Length: 813 pages
Publication date: 07 September 2022
Publisher: Springer International Publishing AG

The 4-volume set of LNCS 13529, 13530, 13531, and 13532, comprising the proceedings of the 31st International Conference on Artificial Neural Networks (ICANN) 2022, held in Bristol, UK, in September 2022, is now available. This comprehensive collection encompasses a remarkable 255 full papers, meticulously reviewed and selected from a staggering 561 submissions. ICANN 2022, a prestigious dual-track conference, showcased a vibrant blend of brain-inspired computing, machine learning, and artificial neural networks, fostering strong cross-disciplinary interactions and applications.

The conference, held under the auspices of the International Neural Network Society (INNS), aimed to bring together researchers, practitioners, and enthusiasts from around the world to explore the latest advancements and breakthroughs in the field of artificial neural networks. With a strong focus on innovation and collaboration, ICANN 2022 showcased a wide range of research topics, including deep learning, neural networks for image recognition, natural language processing, and autonomous systems.

The conference featured a diverse array of keynote speakers and invited speakers, who delivered insightful lectures and panel discussions on cutting-edge topics. These experts, drawn from leading institutions and research centers, shared their expertise and perspectives, fostering valuable discussions and fostering collaborations among the participants.

In addition to the technical sessions, ICANN 2022 also included a vibrant poster session, where researchers showcased their latest research findings and prototypes. This platform provided an opportunity for young researchers and students to interact with established experts, receive feedback, and gain exposure to the latest developments in the field.

The conference proceedings, published by Springer Nature, offer a comprehensive overview of the state-of-the-art research presented at ICANN 2022. The papers cover a wide range of topics, including theoretical foundations, algorithms, applications, and case studies, providing valuable insights and perspectives to the scientific community.

ICANN 2022 was a remarkable event that showcased the power of artificial neural networks in solving complex problems and driving innovation across various industries. The conference's success was a testament to the dedication and expertise of the participants, as well as the strong support of the organizing committee and sponsors.

As we look forward to the future, ICANN 2022 serves as a platform for continued growth and collaboration in the field of artificial neural networks. We can expect to see more groundbreaking research, innovative applications, and cross-disciplinary collaborations that will shape the future of this exciting field.

In conclusion, the 4-volume set of LNCS 13529, 13530, 13531, and 13532, comprising the proceedings of the 31st International Conference on Artificial Neural Networks (ICANN) 2022, is a testament to the vibrant and dynamic field of artificial neural networks. This comprehensive collection of research papers showcases the latest advancements, innovative applications, and cross-disciplinary collaborations in the field. ICANN 2022 was a milestone event that brought together researchers, practitioners, and enthusiasts from around the world, fostering valuable discussions and collaborations. The conference proceedings provide a valuable resource for the scientific community, and we can expect to see more exciting developments in the years to come.

Weight: 1258g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031159336
Edition number: 1st ed. 2022