Sentence examples for error minimization in from inspiring English sources

Error minimization in GFD is carried out by singular value decomposition (SVD).

Concerning the error minimization in the estimation of the response and some statistical methods, the suitable model was selected.

This work presents a genetic algorithm (GA) based evolution of optimal RBFN architecture and compares its performance with the conventional RBFN training procedure employing a two stage methodology, i.e. utilizing the k-means clustering algorithm for the unsupervised training in the first stage, and using linear supervised techniques for subsequent error minimization in the second stage.

This phenomenon proves the necessity of control loop for bus voltage error minimization in Fig. 2 for the autonomous operation of each MG when the local supply is sufficient to cater the local demand.

There are two possible explanations for error minimization in the code.

One minor quibble: the manuscript states that the stereochemical theory and the coevolution theory "cannot account for the high level of error minimization in the standard code".

The performance of the error-entropy minimization is compared with the mean-square-error minimization in the simulation results.

The principle behind the bus voltage error minimization indicated in Fig. 2 is expressed as in (7) and can be elaborated as (8) and (9) for MG1 and MG2 respectively, where (v_{dc1}, v_{dc2}) represent the dc bus voltages of MG1 and MG2 respectively and (v_{MG}^*) signifies the MG reference voltage.

The genetically grown RBFN not only provides an improved network performance, it is also computationally efficient as it eliminates the need for the error minimization routine in the second stage training of RBFN.

SVM learning algorithms are based on the structural risk minimization, which is different from the empirical error minimization used in the traditional machine learning algorithms.

As mentioned in [14], different penalties (like ℓ 2 or ℓ 1) can be applied to the state error minimization term in (18) depending on the nature of the sparse state (u t ) and/or the state noise (q t ).