Neural Networks and Artificial Intelligence for Biomedical EngineeringISBN: 978-0-7803-3404-5
Hardcover
336 pages
October 1999, Wiley-IEEE Press
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Preface.
Acknowledgments.
Overview.
NEURAL NETWORKS.
Foundations of Neural Networks.
Classes of Neural Networks.
Classification Networks and Learning.
Supervised Learning.
Unsupervised Learning.
Design Issues.
Comparative Analysis.
Validation and Evaluation.
ARTIFICIAL INTELLIGENCE.
Foundation of Computer-Assisted Decision Making.
Knowledge Representation.
Knowledge Acquisition.
Reasoning Methodologies.
Validation and Evaluation.
ALTERNATIVE APPROACHES.
Genetic Algorithms.
Probabilistic Systems.
Fuzzy Systems.
Hybrid Systems.
HyperMerge, a Hybird Expert System.
Future Perspectives.
Index.
About the Authors.
Acknowledgments.
Overview.
NEURAL NETWORKS.
Foundations of Neural Networks.
Classes of Neural Networks.
Classification Networks and Learning.
Supervised Learning.
Unsupervised Learning.
Design Issues.
Comparative Analysis.
Validation and Evaluation.
ARTIFICIAL INTELLIGENCE.
Foundation of Computer-Assisted Decision Making.
Knowledge Representation.
Knowledge Acquisition.
Reasoning Methodologies.
Validation and Evaluation.
ALTERNATIVE APPROACHES.
Genetic Algorithms.
Probabilistic Systems.
Fuzzy Systems.
Hybrid Systems.
HyperMerge, a Hybird Expert System.
Future Perspectives.
Index.
About the Authors.
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