Results 61 to 70 of about 47,288 (116)
Observational learning :Tell beginners what they are about to watch and they will learn better
Observation aids motor skill learning. When multiple models or different levels of performance are observed, does learning improve when the observer is informed of the performance quality prior to each observation trial or after each trial?
Mathieu eAndrieux, Luc eProteau
doaj +1 more source
What are the visual features underlying rapid object recognition?
Research progress in machine vision has been very significant in recent years. Robust face detection and identification algorithms are already readily available to consumers, and modern computer vision algorithms for generic object recognition are now ...
Sébastien M Crouzet, Thomas eSerre
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Feedforward mapping for engine control [PDF]
Feedforward control is widely used in electronic control units of internal combustion engines besides feedback controls. However, almost all feedforward control values are used in table form, also called maps, having engine speed and engine ...
Volkan Aran +3 more
core +1 more source
Quadrotor Attitude Control via Feedforward All-Coefficient Adaptive Theory
The use of quadrotors is proliferating across many civil applications, including those in the areas of the Internet of Things (IoT) and communications.
Hongyu Chu +5 more
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Biofeedback and Feedforward in Telerobotics Control
Biofeedback and Feedforward in Telerobotics ...
COSMI, Francesca +3 more
core
Delta-Sigma feedforward topology
S.514-515A delta sigma feedforward topology is presented, which avoids the need for an analogue adder in front of the quantiser. This simplifies the implementation and saves power.
Weigel, R., Oberst, M.
core +1 more source
Based on the principle of weight superposition, a modified Madelung model is proposed. By combining the signal delay response characteristics (SDRC), a dynamic model and its inverse model are established to describe and compensate for the rate‐dependent ...
Rui Li, Kairui Cao, Zekun Li
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Energy-Aware Validation of the PIDA Control in the Hardware-in-the-Loop Environment
The goal of this work is to compare the effectiveness of the classical PID (Proportional Integral Derivative) controller and its extended PIDA (Proportional Integral Derivative Acceleration) version in the energy-aware context.
Marcin Jabłoński, Paweł D. Domański
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Feedforward Multilayer Neural Networks
tput) is very commonly used to approximate unknown mappings. If the output layer is linear, such a network may have a structure similar to an RBF network.
J J(w, Feedforward Multilayer Neural
core
SCORING-RULE FEEDFORWARD AND THE ELICITATION OF SUBJECTIVE-PROBABILITY DISTRIBUTIONS
In the context of assessing subjective probability distributions, scoring rules can be used for elicitation, evaluation, and training purposes. The emphasis in the present study is on elicitation purposes and the main objective is to study the use of ...
VANLENTHE, J, Van Lenthe, Jelle
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