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Design and Analysis of a CMOS Ratio-Memory Cellular Nonlinear Network (RMCNN) Requiring No Elapsed Time

机译:不需要时间的CMOS比例记忆细胞非线性网络(RMCNN)的设计与分析

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A CMOS ratio-memory cellular nonlinear network (RMCNN) requiring no elapsed time is proposed. The correlations between any two neighboring cells are stored in the memories. The ratio weights of each cell are generated through a comparison of the four correlations around one cell with the mean value of these four correlations. With this method, the elapsed time required by the previously existing RMCNN algorithm is no longer required and, therefore, the ratio weights can be generated individually. Moreover, the use of multi-dividers can be avoided to make the circuit simple. Based on the proposed algorithm, a CMOS RMCNN chip requiring no elapsed time has been designed and fabricated using TSMC 0.35-$mu {hbox{m}}$ 2P4M mixed-signal technology. In the fabricated chip, three test patterns can be learned and recognized.
机译:提出了一种不需要经过时间的CMOS比率记忆细胞非线性网络(RMCNN)。任何两个相邻单元之间的相关性都存储在存储器中。每个单元的比率权重是通过将一个单元周围的四个相关性与这四个相关性的平均值进行比较而生成的。使用此方法,不再需要以前存在的RMCNN算法所需的经过时间,因此可以单独生成比率权重。此外,可以避免使用多分频器以简化电路。基于所提出的算法,已经使用台积电0.35-μmu2P4M混合信号技术设计并制造了无需经过时间的CMOS RMCNN芯片。在制造的芯片中,可以学习和识别三个测试模式。

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