Reservoir computing with MEMS resonators

这项工作的目标是检查，如果时间复用水库计算策略可以使SAW器件的非线性处理。如果这被证明是可能的，它将允许在比竞争光学实现小10^5倍的基板上执行高性能实时学习。这将使水库计算机的高性能实现被添加到轻量级和便携式设备。为了评估研究提案，定制的表面声波谐振器将被制造，和新的实验装置的设计和实施。一系列的SAW谐振器，和其他SAW器件的设计，并打算进行测试。通过使用京都大学和Nano-hub的设备，制造成为可能。在成功制造SAW器件之后，可以通过设计和构建支持设备来测试储层计算系统。然后，通过应用完善的储层计算基准任务，可以将得到的储层计算机与其他实现进行比较，这将允许直接比较一种技术与另一种技术。在这种情况下，我们选择二进制奇偶校验任务。使用电子存储器代替SAW延迟线，已成功实现了SAW谐振器水库计算机。这是第一次使用SAW器件的水库计算机演示，可以为在便携式电子设备中实际使用的物理尺寸的完全集成的延迟线水库计算机铺平道路。

The goal of this work is to examine if the time-multiplexed reservoir computing strategy can enable non-linear processing for SAW devices. If this is shown to be possible, it would allow high performance real-time learning to be performed on a substrate 10^5 times smaller than competing optical implementations. This would allow high performance implementations of reservoir computer to be added to lightweight and portable devices.To evaluate the research proposal, custom Surface Acoustic Wave resonators are to be fabricated, and new experimental apparatus designed and implemented. A range of SAW resonators, and other SAW devices are designed, and intended to be tested. The fabrication is possible through use Kyoto University and the Nano-hub’s equipment.Following successful fabrication of the SAW devices, the reservoir computing system can be tested by designing and building supporting apparatus.The resulting reservoir computer can then be compared to other implementations through the application of well-established reservoir computing benchmark tasks, which will allow direct comparison of one technology to another. In this case, we select the binary parity task.A SAW resonator reservoir computer has been successfully implemented, using electronic memory in place of a SAW delay line. This is the first demonstration of a reservoir computer using a SAW devices, and can pave the way to a fully integrated delay line reservoir computer at a physical size which is practical for use in portable electronics.