Handbook of mathematical and digital engineering foundations for artificial intelligence : a systems methodology /

Artificial intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for the efficacy, applicability, ris...

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Bibliographic Details
Main Authors: Badiru, Adedeji Bodunde, 1952- (Author), Asaolu, Olumuyiwa S. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2023.
Edition:First edition.
Series:Systems innovation series.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • chapter 1. Artificial intelligence within industrial and systems engineering framework
  • chapter 2. Mathematics of cantor set for AI searches
  • chapter 3. Set-theoretic systems for AI applications
  • chapter 4. AI mathematical modeling for product design
  • chapter 5. Mathematical formulation of the pursuit problem for AI gaming
  • chapter 6. AI framework for the financial sector
  • chapter 7. AI neuro-fuzzy model for healthcare prediction
  • chapter 8. Stochasticity in AI mathematical modeling
  • chapter 9. Mathematical utility modeling for AI application
  • chapter 10. Artificial intelligence and human factors integration in additive manufacturing
  • chapter 11. AI systems optimization techniques
  • chapter 12. Mathematical modeling and control of resource constraints
  • appendix A. Mathematical expressions and collections (series, patterns, and formulae)
  • appendix B. Cantor set sectioning.