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2023-04-01

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(c) Springer Verlag, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/197788

Complex nonlinear neural network prediction with IOWA layer

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https://doi.org/10.1007/s00500-023-07899-2

Abstract

Neural network methods are widely used in business problems for prediction, clustering, and risk management to improving customer satisfaction and business outcome. The ability of a neural network to learn complex nonlinear relationship is due to its architecture that uses weight parameters to transform input data within the hidden layers. Such methods perform well in many situations where the ordering of inputs is simple. However, for a complex reordering of a decision-maker, the process is not enough to get an optimal prediction result (...)

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Teoria de la predicció, Previsió econòmica, Teoria d'operadors, Presa de decisions

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Prediction theory, Economic forecasting, Operator theory, Decision making

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HUSSAIN, Walayat, et al. Complex nonlinear neural network prediction with IOWA layer. Soft Computing. 2023. Vol. 27, num. 4852-4863. ISSN 1432-7643. [consulted: 18 of June of 2026]. Available at: https://hdl.handle.net/2445/197788

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