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In all implementations, the set point, range of fuzzy sets, membership functions, and rules were unknown and needed to be optimized with training data.
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However, this technique means increased exposure of young individuals with AIS to radiation (and thus needs to be optimized with regard to radiation dose), increased cost, and extra training of the surgeons and operating staff.
Since CNORdt still trains a Boolean logic model (i.e. only the structure of the model is optimized), with only one additional parameter, the training stays relatively simple and computationally efficient.
The ANN model architecture and training parameters were optimized, with inputs being selected using correlation analysis and principal component analysis.
The drives are optimized with AgileArray firmware for NAS servers.
Imaging conditions were optimized with respect to the temporal resolution.
Changes with ambiguous branch assignment were optimized with ACCTRAN.
Subsequently, motifs are optimized with respect to length and specificity.
The images are optimized with contrast enhancement and smoothing.
Each crystal surface is optimized with a relaxed top layer.
Reaction conditions were optimized with commercially available HRM mixes.
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