Results 231 to 240 of about 2,089,547 (271)
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1998
While the learning systems based on artificial neural networks became popular only in the early eighties, they have a much longer research history and some of these methods have evolved towards quite mature techniques.
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While the learning systems based on artificial neural networks became popular only in the early eighties, they have a much longer research history and some of these methods have evolved towards quite mature techniques.
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IEEE Potentials, 1992
Artificial neural networks are explained, and the different types are described. Three different tasks for which they are suitable are discussed. They are pattern classification and associative memory, self-organization and feature extraction, and optimization. >
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Artificial neural networks are explained, and the different types are described. Three different tasks for which they are suitable are discussed. They are pattern classification and associative memory, self-organization and feature extraction, and optimization. >
openaire +2 more sources
2009
Biological systems perform pattern recognition using interconnections of large numbers of cells called neurons. The large number of parallel neural connections makes the human information processing system adaptable, context-sensitive, error-tolerant, large in memory capacity, and real-time responsive.
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Biological systems perform pattern recognition using interconnections of large numbers of cells called neurons. The large number of parallel neural connections makes the human information processing system adaptable, context-sensitive, error-tolerant, large in memory capacity, and real-time responsive.
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Power-efficient neural network with artificial dendrites
Nature Nanotechnology, 2020Xinyi Li +13 more
semanticscholar +1 more source
Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Veda N Giri +2 more
exaly
Advances and Open Problems in Federated Learning
Foundations and Trends in Machine Learning, 2021Han Yu, Ana Cecilia Boetto
exaly
Ripeness Classification of Bananas Using an Artificial Neural Network
The Arabian journal for science and engineering, 2019F. Mazen, Ahmed A. Nashat
semanticscholar +1 more source