Publisher description for Neural networks and artificial intelligence for biomedical engineering / Donna L. Hudson, Maurice E. Cohen.
Bibliographic record and links to related information available from the Library of Congress catalog
Information from electronic data provided by the publisher. May be incomplete or contain other coding.
"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. 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.
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 algorithms
Knowledge representation, knowledge acquisition, and reasoning methodologies
Chaotic analysis of biomedical time series
Probability-based systems and fuzzy systems
Evaluation and validation of decision support aids.
For more information on the IEEE Press Series in Biomedical Engineering edited by Metin Akay, go to <http://www.caip.rutgers.edu/0.000000E+00akay/book/>"
IEEE Engineering in Medicine and Biology Society.
Library of Congress subject headings for this publication: Artificial intelligence Medical applications, Neural networks (Computer science)Expert systems (Computer science)Biomedical engineering Computer simulation