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The noise cancellation has become the essential requirement in the field of signal processing. This paper presents the noise-cancellation technique based on higher-order neural network (HONN). These networks consists of an aggregation function, generalized neural network (GNN) which is based on the generalized-mean of all the inputs applied to it. The results of GNN is also compared with the existing...
The artificial neuron has come a long way in modeling the functional capabilities of various neuronal processes. The higher order neurons have shown improved computational power and generalization ability. However, these models are difficult to train because of a combinatorial explosion of higher order terms as the number of inputs to the neuron increases. This work presents an artificial neural network...
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