
"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 Genetic algorithms Probability-based systems and fuzzy systems Evaluation and validation of decision support aids. An Instructor Support FTP site is available from the Wiley editorial department: ftp: //ftp.ieee.org/uploads/press/hudson
| eugene r weiner jon saboe anne miranda fay james a beck | jeroen b guinee john n miller eva march tappan m a benjamin stephen c fry |