Abstract
Neural network is a special nonlinear model for classification, clustering as well as regression. A single layer network has m input nodes plus a virtual input, called bias, The weighted linear combination of these input values enter into the active node, where it will be transformed by a so called activation function (mostly nonlinear).
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Awange, J., Paláncz, B., Völgyesi, L. (2020). Neural Networks. In: Hybrid Imaging and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-26153-5_5
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DOI: https://doi.org/10.1007/978-3-030-26153-5_5
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