Deep Learning and Other Soft Computing Techniques
Editat de Nguyen Hoang Phuong, Vladik Kreinovichen Limba Engleză Hardback – 27 iun 2023
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.
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Specificații
ISBN-13: 9783031294464
ISBN-10: 3031294467
Pagini: 304
Ilustrații: IX, 291 p. 97 illus., 77 illus. in color.
Dimensiuni: 160 x 241 x 21 mm
Greutate: 0.68 kg
Ediția:2023
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031294467
Pagini: 304
Ilustrații: IX, 291 p. 97 illus., 77 illus. in color.
Dimensiuni: 160 x 241 x 21 mm
Greutate: 0.68 kg
Ediția:2023
Editura: Springer
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.
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 this important 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 this important research direction.
Caracteristici
Presents recent research on Biomedical and Other Applications of Deep Learning and Soft Computing Written by experts in the field Gives insights about computational intelligence techniques and their biomedical applications