Sentence examples for hierarchical identification from inspiring English sources

The presented algorithm based hierarchical identification principle has a strong anti-jamming capability to effectively deal with colored noise existed in the system.

A novel hierarchical diagnosis network (HDN) is proposed by collecting deep belief networks (DBNs) by layer for the hierarchical identification of mechanical system.

By using the hierarchical identification principle, a state observer based hierarchical stochastic gradient algorithm is presented for estimating the parameter vectors and states jointly.

Ding and Chen [1] presented the gradient-based iterative algorithms by applying the gradient search principle and the hierarchical identification principle for Eq. (1) with q = p. Wu et al. [8, 9] gave the finite iterative solutions to coupled Sylvester-conjugate matrix equations.

For example, novel gradient-based iterative (GI) method [1 5] and least-squares-based iterative methods [3, 4, 6] with highly computational efficiencies for solving (coupled) matrix equations are presented and have good stability performances based on the hierarchical identification principle, which regards the unknown matrix as the system parameter matrix to be identified.

Thus, government will more often limit its involvement to an (hierarchical) identification of a public interest in terms of a regulatory definition of relevant objectives (i.e., 'steering') and leave the actual execution of public services to private parties in markets and networks (i.e., 'rowing' - as by the delivery of goods and services).

For large systems, we should investigate hierarchical system identification method [ 33].

The study revealed a hierarchical pattern of identification among Australian adolescent Muslims, with attachment to their religion being the most important, followed by heritage culture identification and being Australian in third place.

Additionally, computational hierarchical clustering allowed identification of genus-, subgenus- and species-specific salivary proteins.

Further analysis (significant genes identification, hierarchical clustering and gene ontology assignment) was carried out using 'MultiExperiment Viewer (MeV)' from The Institute for Genomic Research TIGRR) [ 56].

Future work includes the implementation of QA-learning in single goal hierarchical systems, the automatic identification of subsystems, the reusability of sub-solutions in QA-learning, and the applicability of QA-learning in partially observable environments.