| Titre : | Machine learning applications in civil engineering |
| Auteurs : | Kundan Meshram, Auteur |
| Type de document : | document électronique |
| Editeur : | Amsterdam : Elsevier, 2024 |
| Collection : | Woodhead publishing series in civil and structural engineering |
| ISBN/ISSN/EAN : | 978-0-443-15364-8 |
| Format : | 1 fichier PDF / ill. |
| Note générale : |
Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École. Bibliogr. at the end of chapters. - Index |
| Langues : | Anglais |
| Index. décimale : | 004.8:624 (Méthodes d'intelligence artificielle (Machine Learning) appliquées au génie civil.) |
| Tags : | Civil engineering Machine learning |
| Résumé : | 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. |
| Note de contenu : |
Summary :
1. Introduction to machine learning for civil engineering 2. Basic machine learning for data pre-processing 3. Use of machine learning models for data representation 4. Introduction to classification models for civil engineering applications 5. Classification models for practical deployment in different civil engineering applications ... |
| En ligne : | https://research.ebsco.com/linkprocessor/plink?id=db21b391-98a0-39d0-8125-fd6ff0264a21 |
Exemplaires (2)
| Cote | Support | Localisation | Section | Disponibilité | Etat_Exemplaire |
|---|---|---|---|---|---|
| 004.8:624 MES | Ressources électroniques | Bibliothèque Centrale | Génie Civil | Disponible | Téléchargeable |
| 004.8:624 MES | Ressources électroniques | Bibliothèque Centrale | Génie Civil | Disponible | Téléchargeable |
