一种新型神经网络模拟器的图像处理

D. Durackova, Patricia R. Grega
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引用次数: 1

摘要

在许多情况下,图像处理是使用细胞神经网络进行的。首先,为了实现良好的模式识别,设计合适的网络模型是非常重要的。因此,我们的工作目标是开发通用细胞神经网络设计的模拟器,并在此设计的基础上创建适合图像处理的神经网络。在此基础上,我们还设计了一些基本电路,这些电路将用于将来在芯片上实现神经元/网络。这个想法是将其用于更复杂的芯片,未来用作硅视网膜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Processing by Using a Novel Neural Network Simulator
There are many cases, where the image processing is performed using cellular neural networks. First, for good pattern recognition, the design of the suitable network model is very important. Thus, our goal in this work was to develop the simulator for the universal cellular neural network design and on the base of this design to create the suitable neural network for the image processing. On the base of this network we have also designed some base circuits, which will be used for the future implementation of the neuron/network on the chip. The idea is to use it for a more complex chip, used as the silicon retina in the future.
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