It takes the average reader 7 hours and 28 minutes to read Data-Driven Prediction for Industrial Processes and Their Applications by Jun Zhao
Assuming a reading speed of 250 words per minute. Learn more
This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems...
Data-Driven Prediction for Industrial Processes and Their Applications by Jun Zhao is 443 pages long, and a total of 112,079 words.
This makes it 150% the length of the average book. It also has 137% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 12 minutes to read Data-Driven Prediction for Industrial Processes and Their Applications aloud.
Data-Driven Prediction for Industrial Processes and Their Applications is suitable for students ages 12 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.
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