Sentence examples for system are learned from inspiring English sources
The HGA approach is composed by five hierarchical levels where the following parameters of the T S fuzzy system are learned: input variables and their respective time delays, antecedent fuzzy sets, consequent parameters, and fuzzy rules.
About half of the city schools that are put on the state's list of failing institutions for poor performance are turned around within three years, providing evidence that the system is learning at last to deal with one of its most difficult problems.
About half the city schools that are put on the state's list of failing institutions for poor performance by their students are turned around and removed from the list within three years, providing evidence that the system is learning to deal with one of its most difficult problems.
Though focusing development on users instead of programmers reduces a system's learning curve, it cannot be erased.
Figure 9 shows the system's learning curve estimated using the state-space model of learning for M = 1 (panel B) and M = 100 (panel C).
LPNs need to align to overarching strategic intent but how each local network achieves progress has to be left to local decision making and local innovation because complex adaptive systems are learning systems and need to be able to act on and share action learning.
A simple yet powerful learning control scheme that is suitable for electro-mechanical motion systems is Learning Feed-Forward Control.
Most valuable for the successful development of high-temperature geothermal systems is learning from past field activities; these expensive lessons learned provide invaluable insights that can be applied to new experiments.
The execution ground was filled with people, when by some grapevine system it was learned that the execution would not take place that day.
In clustering-aided ACO (CACO), fuzzy system structure is learned through on-line clustering.
All were native English speakers with no technology or engineering background and none had prior knowledge of the system to be learned.
