论文信息 - Comparison of Numerical Integration Algorithms in Raster CNN Simulation

Comparison of Numerical Integration Algorithms in Raster CNN Simulation

An efficient simulator for Cellular Neural Networks (CNNs) is presented in this paper. The simulator is capable of performing Raster Simulation for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with popular numerical integration algorithms; simulation results and comparison are also presented.

K. Murugesan | V. Murugesh

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