Descripción

Ejemplar nuevo. A practical approach to obtaining nonlinear dynamic models from stimulus-response data. Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substancial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addresing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems.