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It first determines the best output-target assignment and then optimizes the separation regression error given the assignment.
When combined with experimental design techniques, ANN quickly optimizes the separation conditions and shortens analysis time, and does so without knowledge of the physical or chemical properties of the analytes [ 15].
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Then, in order to optimize the separation, Pareto-optimality method was employed.
The separator will be used to optimize the separation parameters for different kinds of applications, such as the foundry sand purification.
The goal is to optimize the separation parameters to achieve maximum amount of strontium that is separated from the fission products.
Potential co-elution of 2-NP isomers with 4-NP1EO was considered when optimizing the separation.
This information can be very useful in optimizing the separation of a mixture of known compounds.
It is also shown that ANN may be establish a method to optimize the separation model.
By optimizing the separation with gradients of increasing complexity, acceptable resolution was possible, being glycine/threonine the critical pair.
At the same time, GA-SVR was employed to optimize the separation conditions of DNA fragments in microchip capillary electrophoresis.
In order to optimize the separation process, an experimental design approach with one process and three formulation factors was applied.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com