5 resultados para Pecking order theory

em Bulgarian Digital Mathematics Library at IMI-BAS


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2010 Mathematics Subject Classification: Primary 35J70; Secondary 35J15, 35D05.

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* This work was financially supported by the Russian Foundation for Basic Research, project no. 04-01-00858a.

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Architecture and learning algorithm of self-learning spiking neural network in fuzzy clustering task are outlined. Fuzzy receptive neurons for pulse-position transformation of input data are considered. It is proposed to treat a spiking neural network in terms of classical automatic control theory apparatus based on the Laplace transform. It is shown that synapse functioning can be easily modeled by a second order damped response unit. Spiking neuron soma is presented as a threshold detection unit. Thus, the proposed fuzzy spiking neural network is an analog-digital nonlinear pulse-position dynamic system. It is demonstrated how fuzzy probabilistic and possibilistic clustering approaches can be implemented on the base of the presented spiking neural network.

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Mathematics Subject Class.: 33C10,33D60,26D15,33D05,33D15,33D90

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Mathematics Subject Classification: 26A33, 74B20, 74D10, 74L15