Business & Economics Books:

Data-Driven Prediction for Industrial Processes and Their Applications

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Paperback / softback
$341.99
Available from supplier

The item is brand new and in-stock with one of our preferred suppliers. The item will ship from a Mighty Ape warehouse within the timeframe shown.

Usually ships in 3-4 weeks

Buy Now, Pay Later with:

4 payments of $85.50 with Afterpay Learn more

Availability

Delivering to:

Estimated arrival:

  • Around 6-18 June using International Courier

Description

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 come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals withinthe machine learning and data analysis and mining communities.

Author Biography:

Jun Zhao is currently a Professor with the School of Control Science and Engineering, Dalian University of Technology, China. Chunyang Sheng is currently a lecturer with the School of Electrical Engineering and Automation, Shandong University of Science and Technology, China.  Wei Wang is currently a Professor with the School of Control Science and Engineering, Dalian University of Technology, China.
Release date Australia
December 22nd, 2018
Audience
  • Professional & Vocational
Edition
Softcover reprint of the original 1st ed. 2018
Illustrations
128 Illustrations, color; 39 Illustrations, black and white; XVI, 443 p. 167 illus., 128 illus. in color.
Pages
443
ISBN-13
9783030067854
Product ID
31148267

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Help & options

Filed under...