Improving the fitness of high-dimensional biomechanical models via data-driven stochastic exploration.
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Spinal cord modularity: evolution, development, and optimization and the possible relevance to low back pain in manEstimation of musculoskeletal models from in situ measurements of muscle action in the rat hindlimbComputational Models for Neuromuscular FunctionExtraction of features from sleep EEG for Bayesian assessment of brain developmentUncertainty in Limb Configuration Makes Minimal Contribution to Errors Between Observed and Predicted Forces in a Musculoskeletal Model of the Rat Hindlimb.
P2860
Improving the fitness of high-dimensional biomechanical models via data-driven stochastic exploration.
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Improving the fitness of high- ...... driven stochastic exploration.
@ast
Improving the fitness of high- ...... driven stochastic exploration.
@en
type
label
Improving the fitness of high- ...... driven stochastic exploration.
@ast
Improving the fitness of high- ...... driven stochastic exploration.
@en
prefLabel
Improving the fitness of high- ...... driven stochastic exploration.
@ast
Improving the fitness of high- ...... driven stochastic exploration.
@en
P2860
P1476
Improving the fitness of high- ...... driven stochastic exploration.
@en
P2093
Francisco J Valero-Cuevas
Veronica J Santos
P2860
P304
P356
10.1109/TBME.2008.2006033
P577
2008-10-07T00:00:00Z