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Based on statistical data of actual projects, the paper develops a formula more suitable for ultra-long pullback by comparing the computing result with the actual measured drag force, that is for engineering design and site construction personnel reference.
The computing result of a neuron in the neuronal network is added to the deviation which is then assigned to an incentive function to form the calculation result of the neuron.
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Computing results are compared with analytical and FEA solutions.
The integrals involved in computing results were computed using Monte Carlo integration.
The data were analyzed through SPSS (Statistical Package for Social Sciences) for computing results and drawing conclusions.
Computing results demonstrate that the proposed method has the advantages of efficiency and stability.
Incremental iterative computation means processing the changed data iteratively based on the previous computed results.
Computed results show other subtle erroneous characteristics which are attributed to computational inaccuracy.
Sample computed results are presented.
Computed results satisfy previous data.
Computed results closely match with experimental observation.
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