Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
How to solve the N bit encoder problem with just two hidden units
Neural Computation
Advances in neural information processing systems 2
A Solution for the N-bit Parity Problem Using a Single Translated Multiplicative Neuron
Neural Processing Letters
Minimal Feedforward Parity Networks Using Threshold Gates
Neural Computation
IEEE Transactions on Neural Networks
Evolving plural programs by genetic network programming with multi-start nodes
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Neural Networks
Neural Networks
Neural Networks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Learning highly non-separable Boolean functions using constructive feedforward neural network
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Efficient program generation by evolving graph structures with multi-start nodes
Applied Soft Computing
Learning data structures with inherent complex logic: neurocognitive perspective
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Solving large n-bit parity problems with the evolutionary ANN ensemble
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Global hybrid ant bee colony algorithm for training artificial neural networks
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
G-HABC Algorithm for Training Artificial Neural Networks
International Journal of Applied Metaheuristic Computing
Global artificial bee colony algorithm for boolean function classification
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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We construct a three-layer feedforward network (one hidden layer) which can solve the N-bit parity problem employing just two hidden units. We discuss the implications of employing problem constraints into transfer functions for general pattern classification problems.