Zobrazeno 1 - 10
of 3 360
pro vyhledávání: '"Echo State Network"'
Publikováno v:
Scientific African, Vol 25, Iss , Pp e02299- (2024)
The integration of Quantum Computing into Echo State Networks (ESN) materializes in the form of the Quantum Echo State Network (QESN), a methodological innovation that reshapes predictive analytics within the domain of artificial intelligence. This i
Externí odkaz:
https://doaj.org/article/d03c1f84bdeb44358f2c49dccf0338a0
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionThe deep echo state network (Deep-ESN) architecture, which comprises a multi-layered reservoir layer, exhibits superior performance compared to conventional echo state networks (ESNs) owing to the divergent layer-specific time-scale respo
Externí odkaz:
https://doaj.org/article/f8e96967988749a184e8cda291afd36a
Autor:
Hadil Alhazmi, Mohamed Kharrat
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 20742-20762 (2024)
This paper addressed the adaptive control problem for non-strict-feedback nonlinear systems with dead-zone and external disturbances. The design methodology integrated the backstepping technique with the approximation of unknown functions using an ec
Externí odkaz:
https://doaj.org/article/86cfabddfbc74a44a56c7ce285aede41
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 6, Pp 1425-1453 (2024)
This study proposes a hybrid model based on the combination of Sand Cat Swarm Optimization (SCSO), Echo State Network (ESN), Gated Recurrent Unit (GRU), Least Squares Method (LSM), and Markov Chain (MC) to improve the accuracy of annual runoff predic
Externí odkaz:
https://doaj.org/article/5b0f4b0b382947cea7ddfa98e2955c2c
Autor:
LI Zhongzhong, YAO Yupeng
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 4, Pp 144-152 (2024)
In order to solve the problem of low precision in drum height adjustment caused by different working conditions during the working process of the shearer, a generation method for cutting height template of the shearer drums based on working condition
Externí odkaz:
https://doaj.org/article/29faa9b0ad334e69abb872c5a3ca29f2
Autor:
Yudai Ebato, Sou Nobukawa, Yusuke Sakemi, Haruhiko Nishimura, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The echo state network (ESN) is an excellent machine learning model for processing time-series data. This model, utilising the response of a recurrent neural network, called a reservoir, to input signals, achieves high training efficiency. I
Externí odkaz:
https://doaj.org/article/d59bb06dcfa64ad7abd39657092772ba
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 4, Pp 1462-1471 (2024)
Abstract Fuel cell technology is a promising alternative to traditional internal combustion engines in various applications, especially in transportation applications. However, the high cost and limited lifetime of fuel cells have hindered their wide
Externí odkaz:
https://doaj.org/article/cdec95f73af04c9b923ff46d882e5b68
Autor:
Qiang Guo, Reza Hasani
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36870- (2024)
This study investigates the impact of water resource restrictions on thermoelectric and hydroelectric stations, analyzing its influence on demand and electricity prices. It uses General Circulation Models (GCMs) and Soil and Water Assessment Tools (S
Externí odkaz:
https://doaj.org/article/c78d124624e044caa5359c3e0e57a3fb
Autor:
Hiroshi Kage
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100571- (2024)
Pattern detection is one of the essential technologies in computer vision. To solve pattern detection problems, the system needs a vast amount of computational resources. To train a multilayer perceptron or convolutional neural network, the gradient
Externí odkaz:
https://doaj.org/article/8b3340a7316c4493b516b435fd1fffff
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Redundant manipulators are universally employed to save manpower and improve work efficiency in numerous areas. Nevertheless, the redundancy makes the inverse kinematics of manipulators hard to address, thus increasing the difficulty in instructing m
Externí odkaz:
https://doaj.org/article/b9c3fcaad6f74705bb3d9f1e2242ae3b