Book ChapterDOI
Associative Storage and Retrieval of Digital Information in Networks of Adaptive “Neurons”
Bernard Widrow,Marcian E. Hoff +1 more
- pp 160-160
TLDR
It has been demonstrated analytically and empirically that a single ADALINE can be “trained” to recognize geometric patterns, perform logical functions, and store digital information.Abstract:
An adaptive logical element, called the ADALINE “neuron,” which consists of a set of variable weights, a threshold, and adaptation machinery for automatically adjusting its weights, has been described previously.* Proofs of convergence of its learning processes and derivations of learning rates have been made. It has been demonstrated analytically and empirically that a single ADALINE can be “trained” to recognize geometric patterns, perform logical functions, and store digital information.read more
Citations
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Application of deep learning to cybersecurity: A survey
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Artificial Neural Network Modelling: An Introduction
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Deep Learning for Mobile Multimedia: A Survey
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Back-propagation learning and nonidealities in analog neural network hardware
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