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- W2124652019 abstract "This paper describes our empirical study in neuro-fuzzy modeling for a real-world nonlinear regression application multi-illuminant color reproduction for electric cameras, investigating a variety of neuro-fuzzy architectures. We explain all those models in the complementary modular network framework, demonstrating several representative models, and discuss strengths and weaknesses of individual models. In particular, we emphasize usefulness of neuro-fuzzy modular networks especially when the posed regression task requires multiple inputs and outputs with a small number of training data due to efficient practical implementation." @default.
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- W2124652019 date "2003-06-25" @default.
- W2124652019 modified "2023-09-27" @default.
- W2124652019 title "Fuzzy mixtures of complementary local experts: towards neuro-fuzzy modular networks" @default.
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- W2124652019 doi "https://doi.org/10.1109/fuzz.2002.1006673" @default.
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