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An automatic structure constructor for the fuzzy neural network automatically selects the input variables from the time-integrated values of many measured signals, and optimizes the number of rules and its related parameters.
The rapid growth in protein structural data and the emergence of structural genomics projects have increased the need for automatic structure analysis and tools for function prediction.
This process is assisted by the automated standardization rules and automatic structure check.
Finally, an SOA is adopted to evaluate suitability of different number of fuzzy rules such that the automatic structure construction of a NFN is feasible.
This method significantly decreases the computational time when five decimal digits of mass are required, thus allowing for efficient and automatic structure elucidation in practical cases.
Microstructure was investigated using automatic structure analyser (Epiquant, Germany), transmission electron microscope (TEM) Philips CM-10, and scanning electron microscope (SEM) Jeol JSM-6490-LV JSM-6490-LV JSM-6490-LV
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Such geometric model data is obtained with manual modeling (e.g., computer-aided design (CAD) data [46, 47]) or automatic structure-from-motion (SfM) modeling software.
For the task of automatic structure-based classification of chemical entities, essential to managing the vast swathes of chemical data being brought online, systems which are capable of hybrid reasoning combining several different approaches are crucial.
The KalignP package, including automatic secondary structure prediction and ESPSGP calculation from secondary structures predicted by PSIPRED_single (Jones, 1999) (version 3.2), is about 15 times slower than Kalign2, but this speed is still comparable to many other MSA programs such as ClustalW and Muscle (Edgar, 2004), see Table 1 and Supplementary Material.
The problem of automatic data structure selection is a complex one because each particular data structure is usually more efficient for some operations and less efficient for others, that is why a static analysis for choosing the best representation can be inappropriate, as the performed operations cannot be statically predicted.
The method also contains an automatic scene structure estimator.
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