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By mimicking biological neural networks, the artificial neural net algorithms learn and progressively improve such things as predictions about the behavior of fuel constituents or blends.
The dry constituents were blended in the correct proportions and mixed thoroughly.
It is the most important constituent in the blend of grapes in Gigondas, the next focus of Wine School.
The amount of lithium exchanged between the constituents of the blend is also derived theoretically based on the thermodynamic properties of the pure constituents, showing excellent agreement to the experimental results.
Drop shrinkage was estimated from polynomial models reported for GA, MG and MD, assuming additive volumes of the blend constituents.
Separation performance of membranes is further ameliorated through chemical modification of blend constituents.
In spite of considerable improvements regarding the power density, some basic interactions between the constituents of the blend are still under discussion.
This is in agreement with recent theoretical compatibilizing efficiency predictions and relates to the relative strength of the interaction parameters among blend constituents.
In spite of the considerable improvements regarding safety issues and power density, the understanding of basic interactions between the constituents of the blend and differences towards common single compound insertion electrodes is still ongoing.
The values of interactions are apparently dependent on the structures of the polyester constituent in the blends; interaction strength for the miscible PEO/polyester systems correlate in the same trend with the PEO crystal growth rates in the blends.
Owing to proximity of blend constituents' Tg's, the miscibility in the crystalline/crystalline blends was mainly justified by thermodynamic and kinetic evidence extracted from characterization of the PEO crystals grown from mixtures of PEO and polyesters at melt state.
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