Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).
The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.
This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications—and to further develop thisimportant research direction.
Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).
The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.
This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications—and to further develop thisimportant research direction.
Deep Learning and Other Soft Computing Techniques: Biomedical and Related Applications
291
Deep Learning and Other Soft Computing Techniques: Biomedical and Related Applications
291
Product Details
| ISBN-13: | 9783031294464 |
|---|---|
| Publisher: | Springer Nature Switzerland |
| Publication date: | 06/27/2023 |
| Series: | Studies in Computational Intelligence , #1097 |
| Edition description: | 2023 |
| Pages: | 291 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |