Construction of neural nets using the radon transform
- 1 January 1989
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 607-611 vol.1
- https://doi.org/10.1109/ijcnn.1989.118639
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.Keywords
This publication has 2 references indexed in Scilit:
- Approximation by superpositions of a sigmoidal functionMathematics of Control, Signals, and Systems, 1989
- The Radon TransformPublished by Springer Nature ,1980