论文标题
使用旋转波延迟线的活跃环储存库计算说话数字分类
Spoken digit classification using a spin-wave delay-line active-ring reservoir computing
论文作者
论文摘要
作为一般适用性的测试，我们使用最近提出的自旋波延迟线弹簧式储层计算机来执行口语数字识别任务。在此方面，分类精度最高可达到93％。测试的设备原型采用改进的自旋波传感器（天线）。因此，此外，我们还让计算机完成短期内存（STM）任务和奇偶校验检查（PC）任务，因为褪色的内存和非线性对于储层计算性能至关重要。所得的STM和PC能力分别达到4.77和1.47。
As a test of general applicability, we use the recently proposed spin-wave delay line active-ring reservoir computer to perform the spoken digit recognition task. On this, classification accuracies of up to 93% are achieved. The tested device prototype employs improved spin wave transducers (antennas). Therefore, in addition, we also let the computer complete the short-term memory (STM) task and the parity check (PC) tasks, because the fading memory and nonlinearity are essential to reservoir computing performance. The resulting STM and PC capacities reach maximum values of 4.77 and 1.47 respectively.
