English | 2024 | PDF | 8 MB | 210 Pages
Kundan Meshram
ISBNs: 0443153647, 0443153639, 9780443153631, 978-0443153631, B0CK71LRZP, 9780443153648, 978-0443153648, 978-0-443-15364-8
Machine Learning Applications in Civil
Engineering discusses machine learning and deep learning models for
different civil engineering applications. These models work for
stochastic methods wherein internal processing is done using randomized
prototypes. The book explains various machine learning model designs
that will assist researchers to design multi domain systems with maximum
efficiency. It introduces Machine Learning and its applications to
different Civil Engineering tasks, including Basic Machine Learning
Models for data pre-processing, models for data representation,
classification models for Civil Engineering Applications, Bioinspired
Computing models for Civil Engineering, and their case studies.
Using
this book, civil engineering students and researchers can deep dive
into Machine Learning, and identify various solutions to practical Civil
Engineering tasks.
- Introduces
various ML models for Civil Engineering Applications that will assist
readers in their analysis of design and development interfaces for
building these applications
- Reviews different lacunas and challenges in current models used for Civil Engineering scenarios
- Explores designs for customized components for optimum system deployment
- Explains
various machine learning model designs that will assist researchers to
design multi domain systems with maximum efficiency
