Title :
Cascade neural network for binary mapping
Author :
Martinelli, G. ; Mascioli, F.M. ; Bei, G.
Author_Institution :
INFO-COM Dept., Roma Univ., Italy
fDate :
1/1/1993 12:00:00 AM
Abstract :
The problem of choosing a suitable number of neurons for a neural network which realizes any given binary mapping is automatically solved by the proposed cascade architecture. The utilized algorithm, based on linear programming, the complexity of the resulting net, and its generalization capability are discussed
Keywords :
computational complexity; linear programming; neural nets; pattern recognition; binary mapping; cascade neural network; complexity; linear programming; Hypercubes; Linear programming; Multilayer perceptrons; Neural networks; Neurons; Upper bound;
Journal_Title :
Neural Networks, IEEE Transactions on
