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Next generation reservoir computing [PDF]
Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data.
D. Gauthier+3 more
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fundamentals of rock properties, this guide covers critical field and lab tests, along with interpretations from actual drilling operations and worldwide case studies, including abnormal formation pressures from many major petroleum basins.
E. Fjær+4 more
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Reservoir computing offers a powerful neuromorphic computing architecture for spatiotemporal signal processing. To boost the power efficiency of the hardware implementations of reservoir computing systems, analogue devices and components—including ...
Yanan Zhong+11 more
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Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation.
Yanan Zhong+5 more
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Physical reservoir computing—an introductory perspective [PDF]
Understanding the fundamental relationships between physics and its information-processing capability has been an active research topic for many years. Physical reservoir computing is a recently introduced framework that allows one to exploit the complex
K. Nakajima
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In-sensor reservoir computing for language learning via two-dimensional memristors
High dimensionality and fading memory for in-sensor reservoir computing are achieved via two-dimensional memristors. The dynamic processing of optoelectronic signals carrying temporal and sequential information is critical to various machine learning ...
Linfeng Sun+9 more
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Rotating neurons for all-analog implementation of cyclic reservoir computing
Hardware implementation in resource-efficient reservoir computing is of great interest for neuromorphic engineering. Recently, various devices have been explored to implement hardware-based reservoirs.
Xiangpeng Liang+10 more
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Aims The aim of this study is to investigate determinants of left atrial (LA) reservoir and pump strain and if these parameters may serve as non-invasive markers of left ventricular (LV) filling pressure. Methods and results In a multicentre study of 322
Katsuji Inoue+17 more
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Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction [PDF]
Reservoir computing is a relatively recent computational paradigm that originates from a recurrent neural network, and is known for its wide-range of implementations using different physical technologies.
M. Rafayelyan+4 more
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Carbonate reservoir characterization: an integrated approach
Estimation of fluid and rock properties of a hydrocarbon reservoir is always a challenging matter; especially, it is true for heterogeneous carbonate reservoirs.
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