Academic Press Handbook of Neural Computation

Product Description 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 Review Collaborative work on the latest neural network research in engineering and science About the Author Dr. Pijush Samui obtained his B.E. at Bengal Engineering at Science University; M.Sc. at Indian Institute of Science; Ph.D. at Indian Institute of Science. He worked as a postdoctoral fellow at University of Pittsburgh (USA) and Tampere University of Technology (Finland). At University of Pittsburgh, he worked on numerical modeling of rock cutting and application of Support Vector Machine (SVM) in Geotechnical Engineering. He is the recipient of CIMO fellowship from Finland. Dr. Samui worked as a guest editor in "Disaster Advances" journal. He also serves as an editorial board member in several international journals. Dr. Samui is editor of International Journal of Geomatics and Geosciences. He is the reviewer of several journal papers. Dr. Samui is a Fellow of the International Congress of Disaster Management and Earth Science India. Dr. Samui is the member of several national and international professional societies like Indian Geotechnical Society, Institution of Engineers, Indian Science Congress, World Federation of Soft Computing, and Geotechnical Engineering for Disaster Mitigation and Rehabilitation (JWG-DMR). Sanjiban Sekhar Roy is a Senior Associate Professor at the School of Computer Science and Engineering at VIT University. His primary courses focus on algorithm design and analysis, computer programming and problem solving, knowledge based systems, and agent based intelligence. He has published numerous journal articles on neural computing, neural networks, support vector machines, image processing and pattern recognition. He serves as a reviewer for the International Journal of Advanced Intelligence Paradigms and the International Journal of Artificial Intelligence and Soft Computing. He has received three publication awards for his research from VIT University. Valentina E. Balas is currently Full Professor at “Aurel Vlaicu University of Arad, Romania. She is author of more than 180 research papers. Her research interests are in intelligent systems, fuzzy control, and soft Computing. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is member of EUSFLAT, ACM and a SM IEEE, and a member of TC - EC and TC-FS (IEEE CIS), TC - SC (IEEE SMCS), Joint Secretary FIM.