How Long to Read Estimating Ore Grade Using Evolutionary Machine Learning Models

How Long Does it Take to Read Estimating Ore Grade Using Evolutionary Machine Learning Models?

It takes the average reader 1 hour and 52 minutes to read Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram

Assuming a reading speed of 250 words per minute. Learn more

Description

This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating ore grade. Models of current books can also be used for the different sciences because they have high capabilities for estimating different variables. Mining engineers can use the book to determine the ore grade accurately. This book helps identify mineral-rich regions for exploration and exploitation. Exploration costs can be decreased by using the models in the current book. In this book, the author discusses the new concepts in mining engineering, such as uncertainty in ore grade modeling. Ensemble models are presented in this book to estimate ore grade. In the book, readers learn how to construct advanced machine learning models for estimating ore grade. The authors of this book present advanced and hybrid models used to estimate ore grade instead of the classic methods such as kriging. The current book can be used as a comprehensive handbook for estimating ore grades. Industrial managers and modelers can use the models of the current books. Each level of ore grade modeling is explained in the book. In this book, advanced optimizers are presented to train machine learning models. Therefore, the book can also be used by modelers in other fields. The main motivation of this book is to address previous shortcomings in the modeling process of ore grades. The scope of this book includes mining engineering, soft computing models, and artificial intelligence.

How long is Estimating Ore Grade Using Evolutionary Machine Learning Models?

Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram is 109 pages long, and a total of 28,231 words.

This makes it 37% the length of the average book. It also has 35% more words than the average book.

How Long Does it Take to Read Estimating Ore Grade Using Evolutionary Machine Learning Models Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 34 minutes to read Estimating Ore Grade Using Evolutionary Machine Learning Models aloud.

What Reading Level is Estimating Ore Grade Using Evolutionary Machine Learning Models?

Estimating Ore Grade Using Evolutionary Machine Learning Models is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Estimating Ore Grade Using Evolutionary Machine Learning Models?

Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram on Amazon click the button below.