Neural Computing for Advanced Applications

This collection features refereed papers from the NCAA 2021 conference, exploring advancements in neural computing and its diverse applications in various fields.

The proceedings of the Second International Conference on Neural Computing for Advanced Applications, NCAA 2021, provide a comprehensive overview of the latest advancements in the field. Held in Guangzhou, China, in August 2021, this collection features 54 meticulously reviewed papers selected from 144 submissions, showcasing cutting-edge research and innovative applications. The contributions are organized into several topical sections, reflecting the diverse areas of neural network theory, cognitive sciences, neuro-system hardware implementations, and engineering applications based on neural networks.

The book delves into various subjects including machine learning, data mining, and privacy protection, alongside applications in fault diagnosis and system modeling. It highlights the intersection of computational intelligence with nature-inspired optimizers, fuzzy logic, and decision-making processes, all of which play crucial roles in management sciences. The integration of these concepts into control systems and industrial artificial intelligence is thoroughly examined, providing readers with insights into real-world applications.

Furthermore, Neural Computing for Advanced Applications addresses contemporary challenges such as computer vision, image processing, and their relevance in industrial settings. The discussions on cloud computing, the Internet of Things, and intelligent techniques for forecasting and managing crises, like the COVID-19 pandemic, underscore the book's relevance in today's rapidly evolving technological landscape. This collection serves as a vital resource for researchers, practitioners, and students interested in the dynamic field of neural computing.