Linking and Activation Potential Optimization in the Pulse Coupled Neural Network

摘要

The paper introduces an approach for linking and activation potential optimization in the Pulse Coupled Neural Network (PCNN) to reduce the number of PCNN parameters. Linking potential has high influence on control of internal activity of PCNN neuron. The neuron internal activity, represented by activation potential, determines the pulse response mode of neuron in the PCNN. Because standard PCNN has up to ten parameters, it is very difficult set up all optimal values of them. With linking and activation potential optimization are better possibilities for PCNN application because four parameters were eliminated.