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If the solution is accepted, then M = M ′.
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To enforce this, we modified the procedure as seem in line 2, where it is verified if the current set of parameters g differs in at most Δ max from the set of original input parameters s 0. If this condition holds, the solution is accepted; otherwise, a failure is returned and the extraction continues searching other paths.
Given a user-defined threshold σMSPE 0, the solution is accepted if its MSPE smaller than σMSPE 0.
In addition, after the generation of each solution, the constraints are checked and the solution is accepted if all constraints are satisfied, and otherwise, it is rejected.
If the decrease in error values, denoted as Δ E, is negative (i.e. the error of a trial solution is below that of the current one), then the trial solution is accepted as the current solution.
The new solution is accepted if it gives a better value.
However, if an increase is found the neighbor solution is accepted sometimes.
The overall process is a trial-and-error approach: a new solution is accepted only if it improves the objective function (1).
A double-layer cloud solution is accepted if J is smaller than that of the single-layer assumption and the COT of the upper cloud is less than 8.
The optimal solution was accepted if it satisfied the χ-squared test for model verification with 95% probability, and N-p degrees of freedom, where N is the number of sampled points (size of MID exp ) and p is the number of free parameters.
And since the paradigm puzzle-solution is accepted as a great achievement, these very similar puzzle-solutions will be accepted as successful solutions also.
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