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Biometric recognition using the behavioral modality of gait is an emerging research area. This paper describes a method for human gait recognition using generalized regression neural networks. The feature space is composed of a combination of dynamic (time-varying) gait signals and static body-shape parameters, extracted from binary silhouettes obtained after background subtraction from human gait...
A simple closed-form formula for plasma-frequency reduction factor for a solid cylindrical electron beam in a metallic tunnel is developed using an artificial neural network algorithm of universal approximation. The formula is simple yet accurate and amenable to easy computation, even using a scientific calculator, without resorting to an exhaustive numerical iterative search, as required by conventional...
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