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首页> 外文期刊>IEEE Journal of Solid-State Circuits >Pulse-density modulation technique in VLSI implementations of neural network algorithms
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Pulse-density modulation technique in VLSI implementations of neural network algorithms

机译：神经网络算法的VLSI实现中的脉冲密度调制技术

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摘要

New implementations of fully connected neural network architecture are explored, and some efficient implementations based on the pulse-density modulation technique are presented. These VLSI circuits are fully programmable, thereby usable in many applications. The architecture is implemented by using two different approaches: analog implementation with switched-capacitor structures and fully digital implementation. The approaches are also compared from the VLSI point of view. The advantage of the switched-capacitor implementation is the small area of a synapse, thus relatively large networks can be implemented. The architecture of the network is also regular, modular, and easy to expand. For the same complexity of network architecture, the digital implementation requires 30% more silicon area, which can be considered quite insignificant. The advantage of the fully digital implementation is good expandability to larger networks. In addition, single circuits can be joined together to form very large networks.
机译：探索了完全连接的神经网络体系结构的新实现，并提出了一些基于脉冲密度调制技术的有效实现。这些VLSI电路是完全可编程的，因此可用于许多应用中。通过两种不同的方法来实现该体系结构：具有开关电容器结构的模拟实现和全数字实现。还从VLSI的角度比较了这些方法。开关电容器实现的优点是突触的面积小，因此可以实现相对较大的网络。网络的架构也是常规的，模块化的，并且易于扩展。对于同样复杂的网络架构，数字实现需要30％的硅面积，这可以认为是微不足道的。全数字实现的优点是可以很好地扩展到更大的网络。另外，单个电路可以连接在一起以形成非常大的网络。

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