Abstract
Artificial Neural Networks (ANN) were originally inspired by the central nervous system and its components that constitute the biological neural network, as investigated by the Neuroscience community. Ever since then, several tasks of human activity have been emulated by the ANNs. Classification is one such decision making task that occurs frequently in human activity and one that has been emulated in the artificial neural network framework. A classification task in the ANN framework is defined as assigning an object to a predefined group or class based on a set of object attributes.
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Suresh, S., Sundararajan, N., Savitha, R. (2013). Circular Complex-valued Extreme Learning Machine Classifier. In: Supervised Learning with Complex-valued Neural Networks. Studies in Computational Intelligence, vol 421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29491-4_6
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DOI: https://doi.org/10.1007/978-3-642-29491-4_6
Publisher Name: Springer, Berlin, Heidelberg
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