Neural Networks And Artificial Intelligence Fo Biomedical Engineering - Tapa blanda

This text offers a comprehensive treatment of all the major computer-assisted techniques currently available to build decision-support systems for problems in biomedicine. Using examples drawn from the fields of medicine and biology and the unique problems they pose, the book provides practical solutions based on current theory and applications of neural networks, artificial intelligence, genetic algorithms, probabilistic systems, fuzzy systems, and hybrid systems. The concluding chapters contain a case study, analysis of the symbolic versus the numerical approach, and future perspectives. The exercises included range from straightforward problems that measure comprehension of basic concepts to more challenging problems that permit the development of practical models using the theoretical techniques. In addition to the exercises in the book, the problems related to each chapter in the text that can be solved using the MATLAB software package are available by FTP. Though the book is primarily intended for graduate students and researchers in biomedical engineering and allied fields, it can also be used for conducting undergraduate courses on neural networks and artificial intelligence for students in electrical and computer science engineering.