A new two-feature GBAM-neurodynamical classifier for breast cancer diagnosis

Ivancevic, Tijana T.; Jain, Lorick; Bottema, Murk J.

doi:10.1109/kes.1999.820182

Cited by 4 publications

(2 citation statements)

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“…The 2N -dimensional map Ξ (9)-(10) represents a fuzzy inference system, defined by (adapted from [28]):…”

Section: Cortical-like Fuzzy-topological Controlmentioning

confidence: 99%

Nonlinear complexity of human biodynamics engine

Ivancevic

2010

Nonlinear Dyn

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This paper reviews a nonlinear complexity within the Human Biodynamics Engine (HBE), a world-class human neuro-musculoskeletal simulator, developed at the Department of Defense, Australia. The HBE development is based on an anthropomorphic tree of Euclidean motion groups SE (3), with 270 active degrees of freedom, realistic muscular mechanics and hierarchical neural-like control. The HBE is formulated in the fashion of nonlinear dynamics/control of highly complex biophysical and robotic systems and developed for the purpose of neuromusculoskeletal injury prediction. The following aspects of the HBE development are described: geometrical, dynamical, control, physiological, biomedical, AI, behavioral and complexity. Several simulation examples are provided.

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“…The 2N -dimensional map Ξ (9)-(10) represents a fuzzy inference system, defined by (adapted from [28]):…”

Section: Cortical-like Fuzzy-topological Controlmentioning

confidence: 99%

Nonlinear complexity of human biodynamics engine

Ivancevic

2010

Nonlinear Dyn

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“…The 2N -dimensional map Ξ (9,10) represents a fuzzy inference system, defined by (adapted from [27]):…”

Section: Cortical-like Fuzzy-topological Controlmentioning

confidence: 99%

Human Versus Humanoid Robot Biodynamics

Ivancevic

2008

Int. J. Human. Robot.

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This paper presents the scientific body of knowledge behind the Human Biodynamics Engine (HBE), a human motion simulator developed on the concept of Euclidean motion group SE(3), with 270 active degrees of freedom, force-velocity-time muscular mechanics and twolevel neural control -formulated in the fashion of nonlinear humanoid robotics. The following aspects of the HBE development are described: geometrical, dynamical, control, physiological, AI, behavioral and complexity, together with several simulation examples.

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