mL-CNN: a CNN model for reaction-diffusion processes in m-component systems
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications - Trang 98-106
Tóm tắt
A mL-CNN is presented in this paper as a generalization of CNN models of reaction-diffusion processes in nonlinear media with m components. Main properties of the model are considered in accordance with imaginations of the process "mechanisms". Two particular CNN models, an autonomous 2L-CNN and a 2L-CNN with external inputs, are presented as examples of special cases of the mL-CNN. Emergence of some complex phenomena in such particular models are also shown.
Từ khóa
#Cellular neural networks #Neurons #Geophysics computing #Mathematics #Mathematical model #Electronic circuits #Circuit simulation #Piecewise linear techniquesTài liệu tham khảo
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