| Автор: Seyedzadeh Saleh, Pour Rahimian Farzad
Название: Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning
ISBN: 3030647501 ISBN-13(EAN): 9783030647506
Издательство: Springer
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy.This book develops a framework for the quick selection of a ML model based on the data and application. |
