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- Q348261 subject Q17093910.
- Q348261 abstract "ADALINE (Adaptive Linear Neuron or later Adaptive Linear Element) is an early single-layer artificial neural network and the name of the physical device that implemented this network. The network uses memistors. It was developed by Professor Bernard Widrow and his graduate student Ted Hoff at Stanford University in 1960. It is based on the McCulloch–Pitts neuron. It consists of a weight, a bias and a summation function.The difference between Adaline and the standard (McCulloch–Pitts) perceptron is that in the learning phase the weights are adjusted according to the weighted sum of the inputs (the net). In the standard perceptron, the net is passed to the activation (transfer) function and the function's output is used for adjusting the weights.There also exists an extension known as Madaline.".
- Q348261 thumbnail Adaline.gif?width=300.
- Q348261 wikiPageExternalLink linanet.htm.
- Q348261 wikiPageWikiLink Q10861030.
- Q348261 wikiPageWikiLink Q17093910.
- Q348261 wikiPageWikiLink Q177058.
- Q348261 wikiPageWikiLink Q192776.
- Q348261 wikiPageWikiLink Q334269.
- Q348261 wikiPageWikiLink Q41506.
- Q348261 wikiPageWikiLink Q462096.
- Q348261 wikiPageWikiLink Q6034938.
- Q348261 wikiPageWikiLink Q6726217.
- Q348261 wikiPageWikiLink Q690207.
- Q348261 wikiPageWikiLink Q7617819.
- Q348261 wikiPageWikiLink Q822778.
- Q348261 comment "ADALINE (Adaptive Linear Neuron or later Adaptive Linear Element) is an early single-layer artificial neural network and the name of the physical device that implemented this network. The network uses memistors. It was developed by Professor Bernard Widrow and his graduate student Ted Hoff at Stanford University in 1960. It is based on the McCulloch–Pitts neuron.".
- Q348261 label "ADALINE".
- Q348261 depiction Adaline.gif.
