Results 1 to 10 of about 194,581 (248)
Sensors, 2022 Structural anomaly diagnosis, such as damage identification, is a continuously interesting issue. Artificial neural networks have an excellent ability to model complex structure dynamics.
Zhi-Gang Ruan, Zu-Guang Ying
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Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, collaborative classification of multimodal data, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR), has been widely used to improve remote sensing image classification accuracy.
Bin Yang +5 more
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Advances in Artificial Neural Networks – Methodological Development and Application
Algorithms, 2009 Artificial neural networks as a major soft-computing technology have been extensively studied and applied during the last three decades. Research on backpropagation training algorithms for multilayer perceptron networks has spurred development of other ...
Yanbo Huang
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PERMODELAN INVERSI PEREDAM MAGNET-REOLOGI BERBASIS JARINGAN SARAF TIRUAN UNTUK SISTEM KENDALI
Rekayasa Mesin, 2022 The application of artificial neural network (ANN) models in magnet-rheological damper modeling is of great interest in recently challenges. Therefore, this study aims to propose a solution to overcome this problem by conducting inverse modeling using an
Rafly Asprilla Alwi +4 more
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Artificial Neural Network Analysis of the Impact of Sample Output Accuracy
MATEC Web of Conferences, 2016 The impact of artificial neural network model output precision technology widespread attention. Quality sample study of neural network output accuracy is not much affected, most of the research is the structure (number of layers and the number of nodes),
Zhang Yu Zhong, Song Shao Yun
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A wavelet neural network approach to predict daily river discharge using meteorological data
Measurement + Control, 2019 This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system.
Ömer Gürsoy, Seref Naci Engin
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ARTIFICIAL NEURAL NETWORKS IN MEDICINE
The Iraqi Journal of Medical Sciences, 2004 [1]By the turn of the century, it became evident that the most important features of the last decade were the information revolution and the impact of computer on all disciplines of medicine.
Anam R. Al-Salihi
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Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation
npj Parkinson's DiseaseNeuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions.
Atefeh Asadi +5 more
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Implementing artificial neural networks through bionic construction.
PLoS ONE, 2019 It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning.
Hu He +9 more
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Removing Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks
International Journal of Interactive Multimedia and Artificial Intelligence, 2018 An artificial neural network based filter to remove unwanted tremor-induced motion in computer mouse input is presented and tested. A method to efficiently capture appropriate training data is shown to be important in the operation and training of the ...
Stephen Mack
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