Optimizing Memory in Reservoir Computers
Optimizing Memory in Reservoir Computers
复制标题
优化水库计算机中的内存
作者：
T. Carroll
油藏计算机是一种使用高维动力系统进行计算的方法。构建水库计算机的一种方法是将一组非线性节点连接到网络中。因为网络在节点之间产生反馈，所以水库计算机有内存。如果储油层计算机要以一致的方式响应输入信号(这是计算的必要条件)，那么内存必须逐渐消失；也就是说，初始条件的影响会随着时间的推移而逐渐消失。这种记忆的持续时间对于确定油藏计算机解决特定问题的能力有多大很重要。在这篇文章中，我描述了在水库计算机中改变衰落存储器长度的方法。要在某些问题中获得最佳结果，调优内存可能很重要；太多或太少的内存都会降低计算的准确性。
A reservoir computer is a way of using a high dimensional dynamical system for computation. One way to construct a reservoir computer is by connecting a set of nonlinear nodes into a network. Because the network creates feedback between nodes, the reservoir computer has memory. If the reservoir computer is to respond to an input signal in a consistent way (a necessary condition for computation), the memory must be fading; that is, the influence of the initial conditions fades over time. How long this memory lasts is important for determining how well the reservoir computer can solve a particular problem. In this paper, I describe ways to vary the length of the fading memory in reservoir computers. Tuning the memory can be important to achieve optimal results in some problems; too much or too little memory degrades the accuracy of the computation.