£129.16

Springer - Neural Networks and Machine Learning in Civil Engineering

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Description

Expand your professional knowledge with Applications of Artificial Neural Networks and Machine Learning in Civil Engineering, part of the Studies in Computational Intelligence series (Volume 1168). Published by Springer, this technical resource addresses the integration of advanced computing methods within the civil engineering field. This volume provides a focused look at how computational intelligence can be applied to engineering challenges. It serves as a specialized text for those studying or working at the intersection of computer science and structural or environmental engineering. By exploring the role of machine learning and neural networks, readers gain insight into modern computational approaches used in contemporary engineering practices. Whether you are a researcher, a student, or a practicing engineer, this book offers a structured look at how data-driven models assist in solving complex problems. It is an essential addition to any academic or professional library focused on the evolution of digital tools in the construction and engineering industries.

Key Features

Part of the highly regarded Studies in Computational Intelligence series, specifically volume 1168.

Published by Springer, a leading global publisher in scientific, technical, and medical literature.

Focuses on the practical application of artificial neural networks within civil engineering disciplines.

Explores machine learning methodologies as they relate to modern engineering problem-solving.

Designed for academic research and professional development in the field of computational intelligence.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 July 2024
Listed Since
12 June 2024

Barcode

No barcode data available

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