Construction of neural nets using the radon transform
1989pp. 607–611 vol.1
Citations Over TimeTop 1% of 1989 papers
Abstract
The authors present a method for constructing a feedforward neural net implementing an arbitrarily good approximation to any L/sub 2/ function over (-1, 1)/sup n/. The net uses n input nodes, a single hidden layer whose width is determined by the function to be implemented and the allowable mean square error, and a linear output neuron. Error bounds and an example are given for the method.>
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