适合人群:Engineers in Biomedical fields, Data Scientists, Medical Researchers, AI and Machine Learning Professionals, Biotechnology Researchers, Graduates and Students in Biomedical Engineering and related disciplines, Healthcare IT professionals
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 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
Neural Networks and Artificial Intelligence for Biomedical Engineering分类索引数据信息
ISBN:9780780334045
出版日期:1999-10 适合人群:Engineers in Biomedical fields, Data Scientists, Medical Researchers, AI and Machine Learning Professionals, Biotechnology Researchers, Graduates and Students in Biomedical Engineering and related disciplines, Healthcare IT professionals