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This paper discusses issues related to the design of the neural network for element extraction.
An optimization of the element extraction models was performed and a set of treatment conditions is suggested.
This paper proposes an artificial neural network based element extraction method for automatic finite element mesh generation.
The presented algorithms rely on a robots inherent high-level feature extraction capability (object recognition and structural element extraction) capability to actually form concept models and infer them.
In this paper, a Back-Propagation (BP) neural network is used to represent the 'if-then' element extraction rules and to train the relationship behind these rules.
The element extraction method repeatedly generates element (s) within the domain using some predefined 'if-then' rules until the whole domain is filled with required elements.
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The methods used for sequential trace element extractions are those discussed in detail by Tessier et al.[5] In the following, we briefly outline the procedure for each extraction step.
This locality effect cannot be accounted for nicely if the advancement as the trigger is an A-movement if the trigger wA-movement ifntheitrigger not prevent an A'-element from extraction at all.
Table 4 Recovery of major and trace elements, their extraction methods and recovery efficiency from coal fly ash References Element Method Chemical reagent/others Recovery efficiency Burnet et al. (1977) Al High-temperature chlorination Carbon, chlorine Not known Mehrotra (1982a, b) Al, Ti High-temperature chlorination Carbon, carbon monoxide, chlorine 25%% Al, 25%% of Ti US Pat.
Elements for extraction included study characteristics (e.g., study design, sample size, publication year, country); subject characteristics (e.g., age, diabetes type); vaccine characteristics (e.g., vaccine, dosage, route, schedule); and the proportion of subjects attaining seroprotection, including the time interval (in months) from the last dose at which immune response was measured.
After the elemental data extraction process, each element is normalized by the specified standard element, dividing its intensity matrix by that of the standard.
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