The present results demonstrate the simplicity and effectiveness of the method and non-uniqueness of solutions.
The solution strategy is based on the Monte Carlo method and non-linear constrained optimization.
spectroscopy and by using both the linearization method and non-linear least squares analysis.
The parametric method and non-parametric method are used to convert the accelerated test condition to actual condition.
In this paper, we focused on a comparative investigation of the linear PLS-DA method and non-linear SVM method.
Additionally, fractional factorial design was used to evaluate the robustness of the method and non-significant intervals for mixture related factors were established using contour profiling.
Finally, all the optimal designs obtained from the Pareto diagrams are compared to determine the optimum designs using normalization method and non-dominated sorting concept.
A comparison of our staggered method and non-staggered method is carried out and shows that our method has better accuracy and efficiency.
Then, three discriminators including coherent real part method, non-coherent amplitude method and non-coherent power method, are theoretically discussed, and further compared in terms of the output curve, convergence range, gain, mean square error (MSE).
Study design: We have tested the efficiency of PCR method and non-radioactive labeling of HSV DNA probe for detection of HSV from 30 clinical specimens (skin and mucous membrane swabs).
Furthermore, through the extended quadratic Lyapunov function method and non-PDC fuzzy controller, the less conservative mean-square admissibility conditions on solving fuzzy controllers are derived in terms of linear matrix inequalities (LMIs).
