Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Cuili Yang"'
Publikováno v:
IEEE Access, Vol 6, Pp 10720-10732 (2018)
Echo state networks (ESNs) have wide applications in chaotic time series prediction. In the ESN, if the smallest singular value of the reservoir state matrix is infinitesimal, the ill-posed problem might occur during the training process. To overcome
Externí odkaz:
https://doaj.org/article/d96fcb743c314714a4348e0b3d74df81
Publikováno v:
IEEE Access, Vol 6, Pp 32493-32506 (2018)
The convergence and diversity of the Pareto optimal solutions is of great importance for multiobjective evolutionary algorithms. Based on parallel cell balanceable fitness estimation (PCBFE), a novel bare-bones multiobjective particle swarm optimizat
Externí odkaz:
https://doaj.org/article/2143ce06828d485bae748754365cb247
Publikováno v:
IEEE Access, Vol 6, Pp 74874-74884 (2018)
In most echo state networks (ESNs), the training error typically decreases as the network size increases, and thus the overfitting issue is widely existed. To solve this problem, an incremental ESN (IESN) is proposed by incorporating the leave-one-ou
Externí odkaz:
https://doaj.org/article/f391a8da81d54826b6eb96271357ff5f
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:6794-6803
Publikováno v:
Information Sciences. 622:148-160
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-12
Autor:
Cuili Yang, Zhanhong Wu
Publikováno v:
Neural Computing and Applications. 35:2867-2882
Publikováno v:
The Journal of Supercomputing. 78:7227-7259
Long short-term memory (LSTM) neural network has been widely studied and applied in the real world. To obtain the LSTM neural network with better accuracy and more appropriate structure, the hybrid coding particle swarm optimization (HCPSO) algorithm
Publikováno v:
Neural Processing Letters. 54:1131-1154
In recent years, emotional neural networks (ENNs) have been extensively used in the field of time series prediction. As a variant of ENN, the radial basis emotional neural network (RBENN) is chosen as the prediction model of time series in this paper
Publikováno v:
2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA).