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ADALINE

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 it. It was developed by professor Bernard Widrow and his doctoral student Marcian Hoff at Stanford University in 1960. It is based on the perceptron and consists of weights, a bias, and a summation function. The weights and biases were implemented by rheostats (as seen in the "knobby ADALINE"), and later, memistors. It found extensive use in adaptive signal processing, especially of adaptive noise filtering. The difference between Adaline and the standard (Rosenblatt) perceptron is in how they learn. Adaline unit weights are adjusted to match a teacher signal, before applying the Heaviside function (see figure), but the standard perceptron unit weights are adjusted to match the correct output, after applying the Heaviside function. A multilayer network of ADALINE units is known as a MADALINE.

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Article summary

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 it. It was developed by professor Bernard Widrow and his doctoral student Marcian Hoff at Stanford University in 1960. It is based on the perceptron and consists of weights, a bias, and a summation function. The weights and biases were implemented by rheostats (as seen in the "knobby ADALINE"), and later, memistors. It found extensive use in adaptive signal processing, especially of adaptive noise filtering. The difference between Adaline and the standard (Rosenblatt) perceptron is in how they learn. Adaline unit weights are adjusted to match a teacher signal, before applying the Heaviside function (see figure), but the standard perceptron unit weights are adjusted to match the correct output, after applying the Heaviside function. A multilayer network of ADALINE units is known as a MADALINE.

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  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  3. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

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