A Primer on Machine Learning Applications in Civil Engineering

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. Th...

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Bibliographische Detailangaben
1. Verfasser:	Deka, Paresh Chandra
Format:	E-Book Buch
Sprache:	Englisch
Veröffentlicht:	Boca Raton CRC Press 2020 Taylor & Francis Taylor & Francis Group
Ausgabe:	1
Schlagworte:	Algorithms & Complexity Artificial Intelligence Civil engineering Civil Engineering & Construction Materials Civil engineering > Data processing civil engineering issues CivilEngineeringnetBASE coastal COMPUTERSCIENCEnetBASE ENGnetBASE Fuzzy Systems General Engineering & Project Administration General References INFORMATIONSCIENCEnetBASE Machine Learning marine engineering MATLAB® software pedagogical approach SCI-TECHnetBASE STMnetBASE Soft Margin SVM Artificial Intelligence Technology Membership Functions ANFIS Model GRNN Model Neuro Fuzzy System FL Polynomial Kernel SVM Fuzzy Set Predicted Output Data SVM Model Soft Computing GA GWL Forecast Combines Support Vector Machines KPCA RBF Kernel Hybrid Neuro Fuzzy System Soft Computing Techniques Ann Model FIS Pan Evaporation Values Pan Evaporation Real Code GA
ISBN:	9781138323391, 113832339X
Online-Zugang:	Volltext
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