The phrase "adaptation coefficient" is correct and usable in written English.
It can be used in contexts related to mathematics, statistics, or scientific research, particularly when discussing how a variable changes in response to another variable.
Example: "The adaptation coefficient in this model indicates how quickly the system can adjust to changes in environmental conditions."
Alternatives: "adjustment factor" or "modification ratio".
In the selected adaptation law generated changes of controller parameters are proportional to the reference model tracking error with an adaptation coefficient as a measure of proportionality.
The plastic adaptation coefficient, which can be used to limit the residual deflection, is introduced, and the influence of residual deflection is investigated.
In this work a 1-D numerical model, which includes a new expression of the so-called "adaptation coefficient", has been applied to test its capability to simulate the transient bed profiles.
The integration of these approaches in an unique global adaptation coefficient, carried out considering the technical and economic importance of each factor, facilitates the selection of the best alternative.
where E t x ̃ stands for the ellipsoid placed in the centroid estimation x ̃ t and α is the adaptation coefficient.
q was calculated as q i = a iQ i, where ai is the von Kries adaptation coefficient and Qi = ∫ ISeRidλ.
However, the matrix size of the linear transform is smaller, and the number of adaptation coefficients LIN requires is only about 65%% the number of coefficients of the first layer.
As in our previous work [28], adaptation coefficients are used in the learning of the means, weight, and variances of the GMM models which can be represented by (alpha _{i}^{m}, alpha _{i}^{w}, alpha _{i}^{v}), where i=1,…,S, respectively.
Eliminating the first 2 d after the start of the treatments (for possible adaptation), the coefficient of determination increased to 0·92 in treatment (iii) and 0·77 in treatment (ii).
The proposed method overcomes certain limitations of the conventional approaches in that due to the absence of any latency, there is no compulsion to employ delayed LMS algorithm for coefficient adaptation and thus no compromise with convergence rate becomes necessary.
An appropriate rule-base is generated for the adaptation of the derivative coefficient of the PID type fuzzy logic controller using these two input variables.
