Listar por tema "Artificial neural networks"
Mostrando ítems 1-4 de 4
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A comparison between the modeling of a reciprocating compressor using artificial neural network and physical model
Elsevier (2015)This article presents the development, validation, and comparison of two methods for modeling a reciprocating compressor. Initially, the physical mode is based on eight internal sub-processes that incorporate infinitesimal ... -
A Data-centric Approach for a Day-ahead System Non-Synchronous Penetration Forecast
Institute of Electrical and Electronics Engineers Inc. (2024-02-02)This paper presents a novel data-centric approach to predict the day-ahead system non-synchronous penetration (SNSP) ratio in the Irish power system. The proposed method uses a deep learning algorithm, based on feedforward ... -
A review of artificial intelligent approaches applied to part accuracy prediction
Inderscience (2010)Nowadays, despite the large volume of worldwide academic research on various aspects of metal cutting the control of workpiece precision still relies on machine-tool operator's experience and trial and error runs. In order ... -
Hand posture prediction using neural networks within a biomechanical model
In-Tech (2012)This paper proposes the use of artificial neural networks (ANNs) in the framework of a biomechanical hand model for grasping. ANNs enhance the model capabilities as they substitute estimated data for the experimental ...