The experimental results proved that the NNGI system has strong robustness with the changes of model parameters, pattern recognition capability of complex nonlinear system and good real-time capability.
Figures 2 and 3 examine the effects of the model's parameters on recognition locus diversity and the frequency of cooperation at equilibrium.
The computerized test results showed that SB-PS supplementation significantly increased the following cognitive parameters: memory recognition (P = 0.004), memory recall (P = 0.006), executive functions (P = 0.004), and mental flexibility (P = 0.01).
In this work, an innovative real-time power management strategy framework is proposed, including short horizon driving pattern prediction, driving pattern recognition, parameter off-line optimisation, parameter on-line prediction modelling, and power management strategy real-time application.
The median frequency (fm) of acceleration has recently been suggested as a powerful parameter for activity recognition.
This paper addresses the problem of the local scale parameter selection for recognition techniques based on Gaussian derivatives.
An analysis of the impact of the ϱ parameter on the recognition performances will also be presented in Section 4.3.
In this evaluation, we focused on the stiffness parameters of the vocal folds, and the effect of each stiffness parameter on stress recognition was then examined.
Second, we apply a refinement of the Multi-Task Sparse Learning (MTSL) framework to exploit the relationships among multiple shared tasks generated by changing the regularization parameter during the recognition stage.
