Sentence examples for error techniques from inspiring English sources

The comparisons have been based on statistical error techniques, using PM56 daily ETo values as a reference.

Equal gain combining, maximal ratio combining, orthogonality restoring combining, and minimum mean square error techniques are some versions of linear equalization employed in MC-CDMA, where appropriate coefficients are used as weighting factors for the signals from different subcarriers.

Traditional engineering approaches need to be augmented with more flexible trial and error techniques, user participation, and multi-disciplinary collaborative learning in order to create innovative solutions and empower impoverished communities to achieve their own development goals.

Application of the system for sheet metal forming design creates the possibility to design the sheet metal forming processes without expensive and time consuming trail and error techniques, so that the necessity of investigation by using real tools may be reduced or eliminated.

Numerical experiments, with data generated by ARMAX and infinite-dimensional models, show the definite advantages of the new approach over standard parametric prediction error techniques and subspace methods both in terms of predictive capability on new data and accuracy in reconstruction of system impulse responses.

Despite these efforts, the methods used for protein crystallization remain based on trial and error techniques rather than on fundamental principles.

To obtain the parameters a k, least square error technique is used.

The different architecture of feed forward artificial neural network with back-propagation error technique is studied.

For this comparison, an improved mean square error (MSE) technique has been employed instead of root mean square (RMS) error technique.

In this paper, we use the "trial and error" technique to determine the value of smoothing parameter.

In particular, they transform the energy efficiency maximization problem into a concave-convex functional program based on weighted minimal mean square error technique and group sparsity theory.