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  5. Adaptive neo-fuzzy predictor for multivariable nonstationary time series

Adaptive neo-fuzzy predictor for multivariable nonstationary time series

Ye.V. Bodyanskiy, O.K. Tyshchenko
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A new neural network architecture that consists of neo-fuzzy-neurons and a learning algorithm that is characterized with high speed and filtering properties are proposed. The proposed architecture can be used for real-time short-term forecasting.
Keywords: adaptive prognostication, neo-fuzzy-neuron, multidimensional non-stationary temporal rows, teaching algorithm