当前模式细胞神经网络的数字可控权值

A. Paasio, A. Dawidziuk, K. Halonen, V. Porra
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引用次数: 12

摘要

讨论了具有可调权值的电流模式CNN。考虑了两种主要的可能解决方案:连续控制和离散控制。在非常一般的水平上比较了解决方案,并对离散控制进行了详细的研究。设计了测试芯片。给出了仿真和测量结果
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Digitally controllable weights in current mode cellular neural networks
Current mode CNN with adjustable weights is discussed. Two main possible solutions are considered: continuous and discrete control. The solutions are compared on very general level and the discrete control is taken into detailed investigation. A test chip has been designed. Simulation and measurement results are reported.<>
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Realisation of a digital cellular neural network for image processing Convergence and stability of the FSR CNN model A versatile CMOS building block for fully analogically-programmable VLSI cellular neural networks A fast, complex and efficient test implementation of the CNN Universal Machine Optoelectronic cellular neural networks based on amorphous silicon thin film technology
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