Computational aspects of Kolmogorov's superposition theorem
Neural Networks
A numerical implementation of Komogorov's superpositions II
Neural Networks
Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Kolmogorov's theorem is relevant
Neural Computation
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A thorough analysis of theoretical and computational properties of kolmogorov learning algorithm for feedforward neural networks lead us to proposal of efficient sequential and parallel implementation. A novel approach to parallelization which combines our previous results in order to achieve higher parallel speedup is presented.