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 this network. The network uses memistors. It was developed by Professor Bernard Widrow and his doctorate student Ted Hoff at Stanford University in 1960. It is based on the McCullochโPitts neuron. It consists of a weight, a bias and a summation function. The difference between Adaline and the standard (McCullochโPitts) 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. A multilayer network of ADALINE units is known as a MADALINE. (Wikipedia).
