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FREEMAN'S K MODELS AS RESERVOIR COMPUTING ARCHITECTURES
New Mathematics and Natural Computation, 2009Walter Freeman in his classic 1975 book "Mass Activation of the Nervous System" presented a hierarchy of dynamical computational models based on studies and measurements done in real brains, which has been known as the Freeman's K model (FKM). Much more recently, liquid state machine (LSM) and echo state network (ESN) have been proposed as universal ...
MUSTAFA C. OZTURK, JOSE C. PRINCIPE
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MReC: A Multilayer Photonic Reservoir Computing Architecture
20th International Symposium on Quality Electronic Design (ISQED), 2019Photonic reservoir computing is a promising paradigm for large-scale classification and prediction problems. However, its single-layer nature is a bottleneck for higher performance and accuracy. This paper proposes MReC, a novel multi-layer photonic reservoir computing architecture made-up of photonic components such as Mach-Zehnder interferometer and ...
Dharanidhar Dhang +2 more
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The architecture of dynamic reservoir in the echo state network
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2012Echo state network (ESN) has recently attracted increasing interests because of its superior capability in modeling nonlinear dynamic systems. In the conventional echo state network model, its dynamic reservoir (DR) has a random and sparse topology, which is far from the real biological neural networks from both structural and functional perspectives ...
Cui, Hongyan, Liu, Xiang, Li, Lixiang
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Reservoir Architecture and Tough Gas Reservoir Potential of Fluvial Crevasse-splay Deposits
Proceedings, 2015Unconventional tough gas reservoirs in low-net-to-gross fluvial stratigraphic intervals may constitute a secondary source of fossil energy to prolong the gas supply in the future. To date, however, production from these thin-bedded, fine-grained reservoirs has been hampered by the economic risks associated with the uncertainties in their geometry ...
Van Toorenenburg, K.A. (author) +2 more
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A Power-Efficient Architecture for On-Chip Reservoir Computing
2019Reservoir computing is a neuromorphic computing paradigm which is well suited for hardware implementations. In this work, an enhanced reservoir architecture is introduced as to lower the losses and improve mixing behaviour in silicon photonic reservoir computing designs.
Stijn Sackesyn +4 more
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3D Connectivity and Architecture in Sandstone Reservoirs
Proceedings of International Meeting on Petroleum Engineering, 1992Abstract Conventional geological modelling of oil and gas fields has in practice been restricted to illustrations on paper. Complex spatial configurations are usually represented as a limited number of 2D maps and cross-sections, perhaps complemented by a conceptual reservoir model in a block diagram.
M. C. Budding +2 more
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A Massively Parallel Reservoir Simulator on the GPU Architecture
SPE Reservoir Simulation Conference, 2021Abstract Reservoir simulation computational costs have been continuously growing due to high-resolution reservoir characterization, increasing model complexity, and uncertainty analysis workflows. Reducing simulation costs by upscaling is often necessary for operational requirements.
Usuf Middya +5 more
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Proceedings, 2011
Seismic Driven Reservoir Characterization: Case Studies of Reservoir Architecture Definition and Reservoir Rock Properties ...
G. Gonzales, Y. Boisseau
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Seismic Driven Reservoir Characterization: Case Studies of Reservoir Architecture Definition and Reservoir Rock Properties ...
G. Gonzales, Y. Boisseau
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FPGA-based Reservoir Computing with Optimized Reservoir Node Architecture
2022 23rd International Symposium on Quality Electronic Design (ISQED), 2022Chunxiao Lin, Yibin Liang, Yang Yi 0002
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The Flow Units Study Based on Reservoir Architecture
Advanced Materials Research, 2011In the case of Fourth Member of Quantou Formation (K1q4) in Well X5-16 of Fuyu Oilfield, it integrates the theory of reservoir architecture and methodology for flow-unit analysis to characterize the architectural units and their permeable features in reservoirs.
Cong Jun Feng, Zhi Dong Bao, Ying Wang
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