Reservoir computers are a type of neuromorphic computer that may be built with analog hardware, potentially creating powerful computers that are small, light and consume little power. Typically a reservoir computer is build by connecting together a set of nonlinear nodes into a network; connecting the nonlinear nodes may be difficult or expensive, however. This work shows how a reservoir computer may be expanded by adding functions to its output. The particular functions described here are linear filters, but other functions are possible. The design and construction of linear filters are well known, and such filters may be easily implemented in hardware such as field programmable gate arrays (FPGA’s). The effect of adding filters on the reservoir computer performance is simulated for a signal fitting problem, a prediction problem and a signal classification problem.

储层计算机是一种可以用模拟硬件构建的神经形态计算机，有可能创建功能强大，体积小，重量轻且消耗很少的计算机。通常，通过将一组非线性节点连接到网络中来构建油藏计算机。然而，连接非线性节点可能是困难的或昂贵的。这项工作显示了如何通过向其输出添加功能来扩展储层计算机。这里描述的特定功能是线性滤波器，但是其他功能也是可能的。线性滤波器的设计和构造是众所周知的，并且这样的滤波器可以容易地在诸如现场可编程门阵列（FPGA）的硬件中实现。针对信号拟合问题，模拟了添加滤波器对储层计算机性能的影响，