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- W80219889 abstract "A multiplicative neuron model called translated multiplicative neuron (π t -neuron) is proposed. Compared to the traditional π-neuron, the π t -neuron presents 2 advantages: (1) it can generate decision surfaces centered at any point of its input space; and (2) π t -neuron has a meaningful set of adjustable parameters. Learning rules for π t -neurons are derived using the error backpropagation procedure. It is shown that the XOR and N -bit parity problems can be perfectly solved using only 1 π t -neuron, with no need for hidden neurons. The π t -neuron is also evaluated in Hwang's regression benchmark problems, in which neural networks composed of π t -neurons in the hidden layer can perform better than conventional multilayer perceptrons (MLP) in almost all cases: Errors are reduced an average of 58% using about 33% fewer hidden neurons than MLP." @default.
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- W80219889 date "2004-09-20" @default.
- W80219889 modified "2023-09-27" @default.
- W80219889 title "Translated Multiplicative Neuron: An Extended Multiplicative Neuron that can Translate Decision Surfaces" @default.
- W80219889 doi "https://doi.org/10.20965/jaciii.2004.p0460" @default.
- W80219889 hasPublicationYear "2004" @default.
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