论文标题
优化储层计算机中的内存
Optimizing Memory in Reservoir Computers
论文作者
论文摘要
储层计算机是使用高维动力系统进行计算的一种方式。构建储层计算机的一种方法是将一组非线性节点连接到网络中。由于网络会在节点之间产生反馈，因此储层计算机具有内存。如果储层计算机要以一致的方式响应输入信号（计算的必要条件），则内存必须褪色；也就是说，随着时间的流逝，初始条件的影响逐渐消失。此内存持续多长时间对于确定储层计算机能够解决特定问题的能力很重要。在本文中，我描述了如何改变储层计算机中褪色内存的长度的方法。调整内存对于在某些问题中获得最佳结果可能很重要。内存过多或太少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.
