A feed-forward time-multiplexed neural network with mixed-signal neuron-synapse arrays

A new time-multiplexed architecture is proposed for mixed-signal neural networks. MRIII is used for training the network which is more robust for implementing mixed-signal designs. The problem of node addressing and routing for implementing the MRIII is solved by performing the operations in current mode and using a counter. Arrays of mixed-signal multiplying-digital-to-analog (MDAC) blocks are used for synaptic multiplication. A compact architecture with a more linear transfer function is proposed for the MDAC to reduce the area, power consumption and noise. The proposed network is implemented using TSMC CMOS 0. 18 mu technology. The results of an XOR (2-2-1) network are presented to show the generality of the design. (c) 2006 Elsevier B.V. All rights reserved.

针对混合信号神经网络，提出了一种新的时分复用架构。采用MRIII对网络进行训练，它在实现混合信号设计时具有更强的鲁棒性。通过在电流模式下操作并使用计数器，解决了实现MRIII时的节点寻址和路由问题。混合信号乘法数模（MDAC）模块阵列用于突触乘法。为MDAC提出了一种具有更线性传递函数的紧凑架构，以减小面积、功耗和噪声。所提出的网络采用台积电0.18μm CMOS工艺实现。给出了一个异或（2 - 2 - 1）网络的结果，以展示该设计的通用性。（c）2006爱思唯尔有限公司。保留所有权利。