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The AIC-based ensemble neural network searches the best weight configuration of each component network first, and uses the AIC as an automating tool to find the best combination weights of the ensemble neural network.
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Regarding the subjective question (Q 4), the answers were generally divided between improving the requirements allocation visualization and providing a better way to adjust the weight configuration for each one of the objectives.
Second, comparison statistics are drawn between the best, instead of weight-equal, configurations of competing architectures so that learning capability of any architecture is not forced handicap.
In fact, the functional properties of polysaccharide plant gums are governed by the chemical composition, molecular weight, sequence of monosaccharide, configuration of glycoside linkages, and the position of glycoside linkages in the backbone and side chains [5].
This model assigns a statistical weight for each possible configuration of nucleosomes that are placed along a genomic sequence.
The model assigns a statistical weight for each possible configuration of nucleosomes that are placed along a genomic sequence, such that no two nucleosomes overlap.
The thermodynamic model assigns a statistical weight for each possible configuration of nucleosomes that are placed along a genomic sequence, such that no two nucleosomes overlap.
The MAC protocol complies with the IEEE Standard 802.11 and accounts for the following extra requirements due to RF-MIMO technology: Maintenance of a database of active and available users (MAC address, number of antennas at the user, last optimum weights, etc).. Configuration of the transceiver's MIMO front end, i.e., the antenna weight coefficients, before sending, or receiving WLAN frames.
The major finding from the study was that although the selection of the optimum mix design depended on the values of weights assigned to the corresponding criteria, for any configuration of the weights the optimum mixture always contained 20 rather than 30% of fly ash.
There are weighting thresholds related to the configuration of the system.
It is a configuration of synaptic weights that partitions the individual's activation vector space into subdivisions that reduce future error messages to both familiar and novel inputs.
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