This paper presents the stability theorem of cellular neural networks(CNN) with a multi-step output function.
本文给出了带 阶梯输出 函数的细胞神经网络(CNN)的稳定性定理。
Using the different steps of the multi-step output function to store different values of pixels, the CNN associative memory of gray-scale patterns is realized.
利用阶梯输出函数的各“台阶”记忆不同灰度,实现了灰度模式的CNN联想记忆。
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