Machine Learning Applications in Industrial Solid Ash

Released on by Chongchong Qi
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  • Machine Learning Applications in Industrial Solid Ash Book Detail

  • Author : Chongchong Qi
  • Release Date : 2023-12-01
  • Publisher : Elsevier
  • Genre : Technology & Engineering
  • Pages : 315
  • ISBN 13 : 0443155259
  • File Size : 53,53 MB
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Machine Learning Applications in Industrial Solid Ash by Chongchong Qi PDF Summary

Book Description: Offering the ability to process large or complex datasets, machine learning (ML) holds huge potential to reshape the whole status for solid ash management and recycling. Machine Learning for Solid Ash Management and Recycling is, as far as the author knows, the first published book about ML in solid ash management and recycling. This book highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be utilized to enhance their own work. The reference begins with fundamentals in solid ash, covering the status of solid ash generation and management. The book moves on to foundational knowledge on ML in solid ash management, which provides a brief introduction of ML for solid ash applications. The reference then goes on to discuss ML approaches currently used to address problems in solid ash management and recycling, including solid ash generation, clustering analysis, origin identification, reactivity prediction, leaching potential modelling and metal recovery evaluation, etc. Finally, potential future trends and challenges in the field are discussed. Helps readers increase their existing knowledge on data mining and ML Teaches how to apply ML techniques that work best in solid ash management and recycling through providing illustrative examples and complex practice solutions Provides an accessible introduction to the current state and future possibilities for ML in solid ash management and recycling

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Industrial Applications of Machine Learning

Industrial Applications of Machine Learning

File Size : 39,39 MB
Total View : 9572 Views
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Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and pr