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Optimization is a method of the application of succeeding iterations with application of variations on initial idea [11], i.e., optimization is fine-tuning of variables of system to get preferred output.
There is exactly one preferred output identifier for each input identifier.
An application receives the maximum score if it returns the preferred output identifier, and no other, for each input identifier.
The preferred output identifier is for D-glucose (b), but an identifier for alpha-D-glucose (c) is also valid since it is a D-glucose.
UniChem generally only returned the preferred output identifier, for each input identifier that was associated with at least one output identifier in the UniChem database.
Hence, the designers need to identify and select suitable materials with specific functionalities in order to attain the preferred output with the minimum cost concern and specific applicability.
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In terms of cost, the coalition countries prefer border carbon adjustments; countries outside the coalition prefer output-based rebates.
The second was that current output is always preferred to future output.
Instead of pinning the result down to a single, possibly wrong, order of the contigs we prefer to output the best possibilities.
Companies have preferred to increase output by adding labour rather than capital.
The architecture of network is exhibited as l, m, n where l neurons are exhibited at input layer (equal to the number of inputs in the network), m neurons are exhibited at the hidden layer (optimized through experimentation) and n neurons are exhibited at the output layer dependent onto number of outputs preferred from model (Rene et al. 2009; Giri et al. 2011).
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