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A quadratic perceptron has a polynomial of order 2 as its discriminant function. The authors show that it can be used to solve sorting, MIN, MAX (i.e. winner-take-all), and non-binary majority problems all in constant time.<<ETX>>
A class of neural network for constructing associative memories that learn the memory patterns as well as their neighbouring patterns is presented. The network is basically a layer of perceptrons with high-order polynomials as their discriminant functions. A learning algorithm is proposed for the network to learn arbitrary bipolar patterns. The simulation results show that the associative memories...
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