, , , e.a.

Machine Learning Applications in Industrial Solid Ash

Paperback Engels 2023 9780443155246
€ 205,00
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Samenvatting

Machine Learning Applications in Industrial Solid Ash 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.

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. This book is the first published book about ML in solid ash management and recycling. It 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.

Specificaties

ISBN13:9780443155246
Taal:Engels
Bindwijze:Paperback

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

<p>Part I :  Industrial Solid Ashes<br>1. Background of industrial soild ashes<br>2. Current strategies  for solid ash management and recycling</p> <p>Part II: Machine Learning Modelling<br>3. Historical background of ML<br>4. Introduction to ML techniques<br>5. ML modelling methodology</p> <p>Part III : Application of ML in solid ash management and recycling<br>6. Physiochemical properties of solid ash and clustering analysis<br>7. Accurate estimation of the solid ash generation<br>8. Evaluation of the trace elements pollution of coal fly ash using ML techniques<br>9. Metal recovery prediction using random forest<br>10. Rapid identification of amourphous phases in solid ash<br>11. Reactivity classification of solid ash using ML techniques<br>12. Forecast of uniaxial compressive strength of solid ash-based concrete</p> <p>Part IV : Future perspectives and challenges to adopting ML in solid ash management and recycling<br>13. Future perspective and opportunities in ML for solid ash management and recycling<br>14. Challenges to adopting ML in solid ash management and recycling</p>

Managementboek Top 100

€ 205,00
Levertijd ongeveer 9 werkdagen
Gratis verzonden

Rubrieken

    Personen

      Trefwoorden

        Machine Learning Applications in Industrial Solid Ash