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The optimization of coefficients and clustering are achieved via a solution based on bi-level alternating minimization (Csiszar and Tusnady, 1984).
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My main concern is related to the fact that, kinetic coefficients are included in the space of parameters over which optimization of response coefficients is performed.
Apart from optimization of kinetic coefficients with minimization of associated errors, prediction of effluent COD has also been undertaken to verify the applicability of kinetic models.
However, an optimization of the coefficients of the model is essential to reduce the computational requirements, especially in the case of gas mixtures.
In this paper a population based evolutionary optimization methodology called Opposition based Harmony Search Algorithm (OHS) is applied for the optimization of system coefficients of adaptive infinite impulse response (IIR) system identification problem.
The optimization process of exact wavelet analysis is different from other adaptive wavelets as it considers both the optimization of wavelet coefficients and the satisfaction of the admissibility conditions of wavelets.
In this paper a population based evolutionary optimization methodology called firefly algorithm (FFA) is applied for the optimization of system coefficients of the infinite impulse response (IIR) system identification problem.
To solve this problem, a combined model based on nondominated sorting-based multiobjective bat algorithm (NSMOBA) is developed for the optimization of weight coefficients of each model to achieve high accuracy and stability results simultaneously.
When A is fixed, the problem reduces to the optimization of the coefficients θ l with given cluster memberships.
Under such conditions, the ionization fractions α ij of individual species must be calculated before the optimization of the coefficients in the QSAR equations.
For instance, free binding energies of ligand−protein interactions are best-described by the methods that recalibrate the simulation results by optimization of additional coefficients.
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