Results 41 to 50 of about 89,082 (306)
A selective learning method to improve the generalization of multilayer feedforward neural networks. [PDF]
, 2001 Multilayer feedforward neural networks with backpropagation algorithm have been used successfully in many applications. However, the level of generalization is heavily dependent on the quality of the training data.
Galván, Inés M. +3 more
core +1 more source
Multi-Mode Electric Actuator Dynamic Modelling for Missile Fin Control
Aerospace, 2017 Linear first/second order fin direct current (DC) actuator model approximations for missile applications are currently limited to angular position and angular velocity state variables.
Bhimashankar Gurav +3 more
doaj +1 more source
Ruolo del feedforward nell'apprendimento di task motori [PDF]
, 2022 Lo scopo di questo studio è quello di investigare gli effetti che il feedforward potrebbe portare nell’esecuzione di alcuni movimenti riabilitativi da parte dei pazienti, si è cercato inoltre di fare chiarezza riguardo le specifiche dei modelli di ...
Callegaro, Daniel
core
IEEE AccessDC-DC buck converters in automotive and aerospace applications are often required to handle large disturbances in their input supply and abrupt variations in their loads. This paper proposes a systematic method to combine input-voltage feedforward (IVFF)
Mostafa Amer +7 more
doaj +1 more source
Microsatellite Uncertainty Control Using Deterministic Artificial Intelligence
Sensors, 2022 This manuscript explores the applications of deterministic artificial intelligence (DAI) in a space environment in response to unknown sensor noise and sudden changes in craft physical parameters.
Evan Wilt, Timothy Sands
doaj +1 more source
Cascaded feedforward sigma-delta modulator for wide bandwidth applications [PDF]
, 2010 A new sigma-delta modulator architecture for wide bandwidth application called cascaded feedforward sigma-delta modulator is proposed in this paper. This sigma-delta modulator is similar to the conventional feedforward summation sigma-delta modulator ...
Pou-Chu Chou +3 more
core +1 more source
Pharmacy, 2013 The development of graduate attributes through health professional courses requires the opportunity to engage with learning and teaching activities that reflect the work-based role to which the student aspires. Such activities allow the contextualisation
Alyson Brown, Helen Vosper
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Development of underground coal mine drainage monitoring system based on DSP
The Journal of Engineering, 2020 Aiming at solving problems such as non-linear, time-varying parameters, and weak digital computing capability in the underground drainage system, the monitoring system is built based on a digital signal processor (DSP).
Xiaojuan Shi, Biao Qi, Xiude Zhang
doaj +1 more source
THE OPTIMAL PERFORMANCE OF MULTI-LAYER NEURAL NETWORK FOR SPEAKER-INDEPENDENT ISOLATED SPOKEN MALAY PARLIAMENTARY SPEECH [PDF]
Malaysian Journal of Computing, 2010 This paper describes speech recognizer modeling techniques which are suited to high performance and robust isolated word recognition in speaker-independent manner.
Noraini Seman +6 more
doaj +1 more source