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Browsing by Author "Glackin, C."
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Classification using a fuzzy spiking neural network
Glackin, C.; McDaid, L.; Maguire, L.; Sayers, H. (2008) -
A comparison of fuzzy strategies for corporate acquisition analysis
Glackin, C.; Maguire, L.; McIvor, R.; Humphreys, P.; Herman, P. (2007)Analysing all prospective companies for acquisition in large market sectors is an onerous task. A strategy that results in a shortlist of companies that meet certain basic criteria is required. The short-listed companies ... -
Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process
Humphreys, P.; McCloskey, A.; McIvor, R.; Maguire, L.; Glackin, C. (2006)The proposed system illustrates that logic fuzzy can be used to aid management in assessing a supplier's environmental performance in the supplier selection process. A user-centred hierarchical system employing scalable ... -
Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition
Glackin, C.; Maguire, L.; McDaid, L. (Institute of Electrical and Electronics Engineers (IEEE), 2010)This paper presents a spiking neural network-based investigation of the issues associated with extraction of onset, offset, and coincidental firing features from spectro-temporal data. Speech samples containing spoken ... -
Implementing fuzzy reasoning on a spiking neural network
Glackin, C.; McDaid, L.; Maguire, L.; Sayers, H. (Springer Nature, 2008)This paper presents a supervised training algorithm that implements fuzzy reasoning on a spiking neural network. Neuron selectivity is facilitated using receptive fields that enable individual neurons to be responsive to ... -
Lateral inhibitory networks : Synchrony, edge enhancement, and noise reduction
Glackin, C.; Maguire, L.; McDaid, L.; Wade, J. (Institute of Electrical and Electronics Engineers (IEEE), 2011)This paper investigates how layers of spiking neurons can be connected using lateral inhibition in different ways to bring about synchrony, reduce noise, and extract or enhance features. To illustrate the effects of the ...