The mathematical foundations of learning machines
The mathematical foundations of learning machines
The cascade-correlation learning architecture
Advances in neural information processing systems 2
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Mathematical physiology
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Visualising the internal components of networks
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
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It is hypothesised that conventional back propagation networks have limitations arising at least, from the simplicity of the artificial neuron model that is used. A more complex neuron, called a micronet, to distinguish it from the conventional neuron, is introduced. The architecture and heuristic of the micronet are described. Visual examples of the complex decision surfaces that can be produced by a single micronet in response to a range of problems are presented.