A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

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A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

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2013 nî lūn-bûn

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2013年の論文

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年學術文章

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A new training algorithm using ...... pecific dynamic gait patterns.

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A new training algorithm using ...... pecific dynamic gait patterns.

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Item

label

A new training algorithm using ...... pecific dynamic gait patterns.

@en

A new training algorithm using ...... pecific dynamic gait patterns.

@nl

prefLabel

A new training algorithm using ...... pecific dynamic gait patterns.

@en

A new training algorithm using ...... pecific dynamic gait patterns.

@nl

P1476

A new training algorithm using ...... pecific dynamic gait patterns.

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P2093

Andre Andrade

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Antônio Braga

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Flavio Pires

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Hans-Joachim Menzel

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Herbert Ugrinowitsch

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Leopoldo Paolucci

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Marcelo Costa

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P2860

Development of a connectionist expert system to identify foot problems based on under-foot pressure patterns

A multi-objective evolutionary algorithm for protein structure prediction with immune operators.

A review of analytical techniques for gait data. Part 2: neural network and wavelet methods.

Identification of individual walking patterns using time discrete and time continuous data sets.

Gender differences in three dimensional gait analysis data from 98 healthy Korean adults.

A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data.

Reduction, classification and ranking of motion analysis data: an application to osteoarthritic and normal knee function data.

Pattern classification of kinematic and kinetic running data to distinguish gender, shod/barefoot and injury groups with feature ranking.

Support vector machine for classification of walking conditions of persons after stroke with dropped foot.

Convergence analysis of sliding mode trajectories in multi-objective neural networks learning.

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382-390

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scholarly article

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10.1080/10255842.2013.803081

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P433

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P478

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P577

2013-06-14T00:00:00Z

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P5875

239066146

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P698

23768190

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