Data-Driven Prediction for Industrial Processes and Their Applications

Data-Driven Prediction for Industrial Processes and Their Applications

English | PDF,EPUB | 2018 | 453 Pages | ISBN : 3319940503 | 79.46 MB

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 within the machine learning and data analysis and mining communities.

Download:

http://longfiles.com/cvghp5poirn7/Data-Driven_Prediction_for_Industrial_Processes_and_Their_Applications.rar.html

[Fast Download] Data-Driven Prediction for Industrial Processes and Their Applications


Ebooks related to "Data-Driven Prediction for Industrial Processes and Their Applications" :
Big Data Analytics and Knowledge Discovery
Big Data Applications and Services 2017
Study Guide for 1Z0-071: Oracle Database 12c SQL: Oracle Certification Prep
Data Science Thinking: The Next Scientific, Technological and Economic Revolution
Beginning Apache Spark 2
Professional Microsoft SQL Server 2014 Administration
Designing Relational Database Systems
My SQL Language Reference
Mastering Social Media Mining with Python
Beginning PostgreSQL on the Cloud: Simplifying Database as a Service on Cloud Platforms
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.