Neural Networks and Artificial Intelligence for Biomedical Engineering (IEEE Press Series on Biomedical Engineering)
| Author | : | |
| Rating | : | 4.29 (651 Votes) |
| Asin | : | 0780334043 |
| Format Type | : | paperback |
| Number of Pages | : | 340 Pages |
| Publish Date | : | 2017-07-29 |
| Language | : | English |
DESCRIPTION:
Highlighted topics include: Types of neural networks and neural network algorithmsKnowledge-based representation and acquisitionReasoning methodologies and searching strategiesChaotic analysis of biomedical time seriesGenetic algorithmsProbability-based systems and fuzzy systemsCase study and MATLAB® exercisesEvaluation and validation of decision support aids. From the Back Cover Biomedical/Electrical Engineering Neural Networks and Artificial Intelligence for Biomedical Engineering Using examples drawn from biomedicine and biomedical engineering, this reference text provides comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will
Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications.Highlighted topics include:Types of neural networks and neural network algorithmsKnowledge representation, knowledge acquisition, and reasoning methodologiesChaotic analysis of biomedical time seriesGenetic algorithmsProbability-based systems and fuzzy systemsEvaluation and validation of decision support aids. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems
"Book unfortunately for undergraduate students" according to Daniel Lavigne. This book addresses many subjects related to ANN & AI fields. However, while it covers these topics, it does it too superficially and is further considered for undergraduate students.Daniel Lavigne, PhD student
An accomplished artist, Dr. He has published widely and is coauthor of Comparative Approaches to Medical Reasoning (World Scientific, 1995). Hudson is professor of Family and Community Medicine at the University of California, San Francisco (UCSF), and Director of Medical Information Resources at the UCSF Fresno Medical Education Program. She serves as the associate editor for Intelligent Systems for the ISCA International Journal