Nonlinear Biomedical Signal Processing, Volume 1: Fuzzy Logic, Neural Networks, and New Algorithms
Wiley, Aug 4, 2000 - Science - 276 pages
For the first time, eleven experts in the fields of signalprocessing and biomedical engineering have contributed to anedition on the newest theories and applications of fuzzy logic,neural networks, and algorithms in biomedicine. NonlinearBiomedical Signal Processing, Volume I provides comprehensivecoverage of nonlinear signal processing techniques. In the lastdecade, theoretical developments in the concept of fuzzy logic haveled to several new approaches to neural networks. This compilationdelivers plenty of real-world examples for a variety ofimplementations and applications of nonlinear signal processingtechnologies to biomedical problems. Included here are discussionsthat combine the various structures of Kohenen, Hopfield, andmultiple-layer "designer" networks with other approaches to producehybrid systems. Comparative analysis is made of methods of genetic,back-propagation, Bayesian, and other learning algorithms.
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