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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2023.
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| Edition: | First edition. |
| Series: | Systems innovation series.
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| 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.