Results 291 to 300 of about 219,698 (314)
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Neural networks for computing eigenvalues and eigenvectors
Biological Cybernetics, 1992The authors consider the problem of computing an eigendecomposition of a square matrix. They formulate the problem as a constrained optimization problem and construct a penalty function to be minimized. They solve the resulting unconstrained optimization problem by designing neural networks and applying a back-propagation learning scheme, which is ...
Andrzej Cichocki, Rolf Unbehauen
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2007
Brain function remains one of the most elusive and fascinating phenomena challenging modem science (Churchland, 1986). Although a lot is already known about the neuron and its functional characteristics, when we address the information-processing capabilities of a neural assembly, called here the mesoscopic description (Freeman, 1975), more often than ...
Dongming Xu +7 more
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Brain function remains one of the most elusive and fascinating phenomena challenging modem science (Churchland, 1986). Although a lot is already known about the neuron and its functional characteristics, when we address the information-processing capabilities of a neural assembly, called here the mesoscopic description (Freeman, 1975), more often than ...
Dongming Xu +7 more
openaire +1 more source
Fuzzy logic, neural networks and soft computing
Microprocessing and Microprogramming, 1993The past few years have witnessed a rapid growth of interest in a cluster of modes of modeling and computation which may be described collectively as soft computing. The distinguishing characteristic of soft computing is that its primary aims are to achieve tractability, robustness, low cost, and high MIQ (machine intelligence quotient) through an ...
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Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art
IEEE Transactions on Microwave Theory and Techniques, 2022, Qi-Jun Zhang, Weicong Na
exaly
N-hidden layer artificial neural network architecture computer code: geophysical application example
Heliyon, 2020Changsoo Shin, Jide Ogunbo
exaly
Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface
Journal of the American Statistical Association, 2022Jane E Huggins, Jian Kang, Ji Zhu
exaly
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011Hubert Cecotti, Axel Gräser
exaly
Neural networks for computer-aided diagnosis in medicine: A review
Neurocomputing, 2016Athanasios V Vasilakos, Yuanzhe Yao
exaly

