Memristor models for machine learning. - Wikidata - awgldk - TriplyDB

Memristor models for machine learning.

Memristor models for machine learning.

http://www.wikidata.org/entity/Q40250769

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Reservoir computing using dynamic memristors for temporal information processing.Finite-time projective synchronization of memristor-based delay fractional-order neural networks Trajectories Entropy in Dynamical Graphs with Memory

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P2860

Memristor models for machine learning.

http://www.wikidata.org/entity/Q40250769

description

2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

@zh

2015年论文

@zh-cn

name

Memristor models for machine learning.

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type

label

Memristor models for machine learning.

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prefLabel

Memristor models for machine learning.

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Neural Computation

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Memristor models for machine learning.

@en

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Benjamin Schrauwen

http://www.w3.org/2001/XMLSchema#string

Michiel Hermans

http://www.w3.org/2001/XMLSchema#string

P2860

Real-time computing without stable states: a new framework for neural computation based on perturbations

Nanobatteries in redox-based resistive switches require extension of memristor theory

Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication.

Neuromorphic atomic switch networks

The missing memristor found.

Optoelectronic reservoir computing.

Real-time detection of epileptic seizures in animal models using reservoir computing.

Integration of nanoscale memristor synapses in neuromorphic computing architectures.

Synaptic electronics: materials, devices and applications.

Memory in linear recurrent neural networks in continuous time.

P304

725-747

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scholarly article

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10.1162/NECO_A_00694

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3

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27

http://www.w3.org/2001/XMLSchema#string

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Juan Pablo Carbajal

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2015-01-20T00:00:00Z

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25602769

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1406.2210

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P921

machine learning