A backpropagation and initialization routine for hyperbolic sigma-pi neural networks
Neural, Parallel & Scientific Computations
Data mining using an adaptive HONN model with hyperbolic tangent neurons
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
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Recent results on the memory storage capacity of higher order neural networks indicate a significant improvement compared to the limited capacity of the Hopfield model. However, such results have so far been obtained under the restriction that only a single iteration is allowed to converge. This paper presents a indirect convergence (long-term attraction) analysis of higher order neural networks. Our main result is that for any κd