AppART + Growing Neural Gas = high performance hybrid neural network for function approximation
نویسندگان
چکیده
We combine two notable streams of neural networks research: Adaptive Resonance Theory (ART) and Growing Neural Gas (GNG) networks. In particular we modify the AppART neural network formulation by introducing GNG based training features. The resulting neural network outperforms its original version as well as other neural models while maintaining the functional approximation properties and hybrid system conception.
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