Handbook of Neural Computation

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world.

Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.

• Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more
• Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing
• Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings.

Dr. Sanjiban Sekhar Roy (Member, IEEE) is a distinguished academic and researcher, currently serving as a Professor in the School of Computer Science and Engineering at Vellore Institute of Technology (VIT). He earned his Ph.D. in 2016 from VIT, and from 2019 to 2020, he served as an Associate Researcher at Ton Duc Thang University, Vietnam. With an extensive academic career, Dr. Roy has published over 80 peer-reviewed articles in renowned international journals and conferences, making significant contributions to the fields of deep learning, advanced machine learning, and artificial intelligence. He has authored and co-authored several books published by Elsevier and CRC Press. In addition to these, he has edited 10 books with prestigious international publishers, demonstrating his expertise in computer science and technology. Dr. Roy holds two patents and is an active member of various doctoral committees, providing valuable guidance to Ph.D. scholars. He has mentored numerous postgraduate and undergraduate students, helping them navigate their research projects and academic pursuits. Beyond his research and teaching, Dr. Sanjiban Sekhar Roy has served as an editorial member for several highly respected journals and has edited special issues for prominent publications in his field. His research and academic contributions have been recognized globally, earning him the prestigious “Diploma of Excellence” Award for academic research from the Ministry of National Education, Romania, in 2019. Dr. Roy’s work continues to push the boundaries of artificial intelligence, particularly in deep learning and machine learning. His contributions to the academic community and his leadership in research have made a lasting impact on the advancement of these transformative technologies.

Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, at Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research spans intelligent systems, computational intelligence, applied informatics, and engineering applications. Dr. Balas serves as Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and is a member of the editorial boards of several international journals. She is actively involved in the evaluation of national and international research projects and doctoral theses, and contributes to scholarly initiatives that support the advancement of intelligent and computational systems research.