Add to ORKGPCNN-Pulse Coupled Neural Network, a new artificial neural network based on biological experimental results, can be widely used for image processing. The complexities of the PCNN's structure and its dynamical behaviors limit its application so simplification of PCNN is necessary. We have used simplified PCNNs to efficiently process image. In this paper dynamical behaviors of simplified PCNNs under certain conditions are analyzed in detail and we obtain the conclusion that under these conditions, simplified PCNNs have periodic solutions, i.e. their dynamical behaviors are periodical.Computer Science, Artificial IntelligenceComputer Science, Theory & MethodsCPCI-S(ISTP)
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
This paper presents results obtained from the analysis of Pulse Coupled Neural Network (PCNN)behavi...
© 2016, CIMNE, Barcelona, Spain. Pulse-coupled neural networks (PCNN) have an inherent ability to pr...
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications i...
PCNN (Pulse Coupled Neural Network), a phenomenological model exhibiting synchronous pulse bursts, c...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
Pulse Coupled Neural Networks are a very useful tool for image processing and visual applications, s...
Abstract—A novel approach based on Pulse-Coupled Neural Networks (PCNN) for image change detection i...
In this paper, researches are deep done on using PCNN-pulse coupled neural network, a new artificial...
Pulse-coupled neural network (PCNN) is a powerful unsupervised learning model with many parameters t...
Abstract — In recent years, two-dimension pulse coupled neural networks (PCNNs) have been widely use...
Pulse-coupled neural network (PCNN) is inspired from the visual cortex of cats. It is superior to th...
PCNN-pulse coupled neural network, based on the phenomena of synchronous pulse bursts in the animal ...
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
This paper presents results obtained from the analysis of Pulse Coupled Neural Network (PCNN)behavi...
© 2016, CIMNE, Barcelona, Spain. Pulse-coupled neural networks (PCNN) have an inherent ability to pr...
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications i...
PCNN (Pulse Coupled Neural Network), a phenomenological model exhibiting synchronous pulse bursts, c...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
Pulse Coupled Neural Networks are a very useful tool for image processing and visual applications, s...
Abstract—A novel approach based on Pulse-Coupled Neural Networks (PCNN) for image change detection i...
In this paper, researches are deep done on using PCNN-pulse coupled neural network, a new artificial...
Pulse-coupled neural network (PCNN) is a powerful unsupervised learning model with many parameters t...
Abstract — In recent years, two-dimension pulse coupled neural networks (PCNNs) have been widely use...
Pulse-coupled neural network (PCNN) is inspired from the visual cortex of cats. It is superior to th...
PCNN-pulse coupled neural network, based on the phenomena of synchronous pulse bursts in the animal ...
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
This paper presents results obtained from the analysis of Pulse Coupled Neural Network (PCNN)behavi...