Results 101 to 110 of about 3,514 (178)

Echo State Property upon Noisy Driving Input

Complexity
The echo state property (ESP) is a key concept for understanding the working principle of the most widely used reservoir computing model, the echo state network (ESN).
Junhyuk Woo, Hyeongmo Kim, Soon Ho Kim, Kyungreem Han   +3 more
doaj   +1 more source

Real-Time Efficient Approximation of Nonlinear Fractional-Order PDE Systems via Selective Heterogeneous Ensemble Learning

Fractal and Fractional
Rod-pumping systems represent complex nonlinear systems. Traditional soft-sensing methods used for efficiency prediction in such systems typically rely on complicated fractional-order partial differential equations, severely limiting the real-time ...
Biao Ma, Shimin Dong
doaj   +1 more source

An Echo State Network Approach for Parameter Variation Robustness Enhancement in FCS-MPC for PMSM Drives

Applied Sciences
Parameter mismatch in model predictive control (MPC) strategies presents significant challenge in permanent magnet synchronous motor (PMSM) control, often leading to reduced tracking accuracy and compromised system stability under dynamic operating ...
Xiao Zeng, Jing Li, Pengcheng Yang, Hongda Cai, Yongzhi Zhou, Daren Li   +5 more
doaj   +1 more source

Ensemble and Pre-Training Approach for Echo State Network and Extreme Learning Machine Models

Entropy
The echo state network (ESN) is a recurrent neural network that has yielded state-of-the-art results in many areas owing to its rapid learning ability and the fact that the weights of input neurons and hidden neurons are fixed throughout the learning ...
Lingyu Tang, Jun Wang, Mengyao Wang, Chunyu Zhao   +3 more
doaj   +1 more source

Research on time series forecasting method of ion concentration in produced fluid

Engineering Reports
In the research on strong alkali‐surfactant‐polymer flooding scaling prediction, the variation characteristics of ion concentration in the produced fluid are obviously consistent with those of scale component content. Consequently, studying the variation
Yanan Hu, Mingyang Lv, Tao Liu, Fengzhi Zhao   +3 more
doaj   +1 more source

Automatic Workflow Monitoring in Industrial Environments

Robust automatic workflow monitoring using visual sensors in industrial environments is still an unsolved problem. This is mainly due to the difficulties of recording data in work settings and the environmental conditions (large occlusions, similar ...
Grabner, Helmut, Middleton, Lee, Van Gool, Luc, Veres, Galina   +3 more
core  

Physical echo state network based on the nonlinearity and dynamic response of ambipolar heterostructure transistors. [PDF]

Nat Commun
Zhong WM, Zhang W, Zeng YX, Zhao J, Jia Z, Ding G, Han ST, Roy VAL, Zhou Y.   +8 more
europepmc   +1 more source

A deep reinforcement based echo state network for network intrusion classification. [PDF]

PLoS One
Alam K, Bhuiyan MH, Farid DM.
europepmc   +1 more source

A hybrid approach to Twitter sentiment analysis using integration of ESN ISPBO and BERT. [PDF]

Sci Rep
Chai Z, Sun N, Zhang Q, Razmjooy N.
europepmc   +1 more source

An Operational Framework for Affect-Adjacent Structure in Plant-Environment Interaction. [PDF]

Bioengineering (Basel)
Calvert B, Caspar L, Witkowski O.
europepmc   +1 more source