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Numerous studies have demonstrated that the forgetting of stimulus attributes is a common occurrence; that is, organisms forget the specific characteristics of training stimuli over long retention intervals, while retaining general information of the training stimuli themselves.
While characteristics of training data set are automatically mined and generated by the proposed dynamic learning algorithm, architecture of the RBFNs prediction system is initially represented with collected information.
The analysed variables included characteristics of training (age, sex, enrolment, terminal efficiency) and the labour market (employment status, position at work, employment sector, geographical distribution).
We also recommend that the characteristics of training datasets reflect the planned study population as closely as possible (e.g., age, geographic distribution, and measurement frequency).
The extent of this specific adaptation is influenced by multiple factors, such as genetic predisposition, hormonal influences, the neural component, muscle fiber composition, characteristics of training (frequency, intensity and duration), and others [ 1, 3].
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On the basis of analysing the kinematic characteristics of gear train transplanting (GTT) mechanisms, the criterion of gear train structure was established, and the gear train topology graphs were screened.
A theoretical framework for microworld design is tested and used to explore some key methodological issues and characteristics of train driving, enhancing theory development and providing a useful guideline for the designers of other collision-avoidance systems.
In order to simulate operating characteristics of trains better in different block conditions, three kinds of models are proposed on the train motion under different signaling systems based on cellular automaton CA) model in this paper, i.e., the train motion behavior under the fixed block, the moving-like block and the moving block conditions.
The characteristics of trained GPs in the intervention and GPs in the control arm did not differ in mean age, gender, working hours, years of experience and use of a consultation service for palliative care.
Thus, considering the characteristics of race training, which include daily training sessions that pose similar potential to stimulate SAA production every 24 hours, using the SAA concentration to monitor race training is useless.
Note that if the target-like signals appear in the training samples or the clutter characteristics of the training samples are non-homogeneous with those of the CUT data, expression (13) will lead to an inaccurate estimation.
More suggestions(17)
characteristics of skills
characteristics of specialists
characteristics of educational
characteristics of graduates
characteristics of instructors
specificity of training
nature of training
characteristics of trainers
feature of training
characteristics of trainees
characteristics of wisdom
characteristics of model
characteristics of content
characteristics of drug
characteristics of fish
characteristics of prairie
characteristics of mediation
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