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
