返回
Optoelectronic Reservoir Computing
DOI:10.1038/srep00287.png)
摘要
En 中文
Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single output layer. Within these constraints many implementations are possible. Here we report an optoelectronic implementation of reservoir computing based on a recently proposed architecture consisting of a single non linear node and a delay line. Our implementation is sufficiently fast for real time information processing. We illustrate its performance on tasks of practical importance such as nonlinear channel equalization and speech recognition, and obtain results comparable to state of the art digital implementations.
Keyword:
ALGORITHMS
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
27.9W
被引数:
83.5W
机构
引用论文
Information processing using a single dynamical node as complex system使用单个动态节点作为复杂系统的信息处理
NATURE COMMUNICATIONS
IF15.7
Optimization and applications of echo state networks with leaky-integrator neurons具有漏积分神经元的回声状态网络的优化及应用
NEURAL NETWORKS
IF6.3

