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.

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The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. This volume presents emerging research on computational techniques and applications within the field of structural engineering. It features practical applications as well as new research insights.

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences.