Multilayer feedforward networks are universal approximators
Neural Networks
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The dependence identification neural network construction algorithm
IEEE Transactions on Neural Networks
A training algorithm for binary feedforward neural networks
IEEE Transactions on Neural Networks
A constructive algorithm for binary neural networks: the oil-spot algorithm
IEEE Transactions on Neural Networks
| Hi-index | 0.10 |
It is well known that if a Boolean function is expressed in sum of products, each function can be implemented with one level of AND gates followed by an OR gate. We will prove that if each desired output of a binary function is expressed in sum of products, each desired output can be implemented with one layer of perceptron nodes followed by a perceptron node.