Block and parallel modelling of broad domain nonlinear continuous mapping based on NN

doi:10.1016/S1004-4132(06)60101-1

Journal of Systems Engineering and Electronics ›› 2006, Vol. 17 ›› Issue (3): 586-592.doi: 10.1016/S1004-4132(06)60101-1

• CONTROL THEORY AND APPLICATION • Previous Articles Next Articles

Block and parallel modelling of broad domain nonlinear continuous mapping based on NN

Yang Guowei1 2, Tu Xuyan3 & Wang Shoujue2

1. Inst. of Pattern Recognition and Intelligent System, Qingdao Univ. , Qingdao 266071, P. R China;

2. Laboratory of Artificial Neural Network, Inst of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P. R China;

3. Inst. of Computer and System Science, Univ. of Science and Technology Beijing, Beijing 100083, P. R China

Online:2006-09-25 Published:2006-09-25

Abstract

Abstract:

The necessity of the use of the block and parallel modeling of the nonlinear continuous mappings with NN

is firstly expounded quantitatively. Then, a practical approach for the block and parallel modeling of the nonlinear

continuous mappings with NN is proposed. Finally, an example indicating that the method raised in this paper can

be realized by suitable existed software is given. The results of the experiment of the model discussed on the 3-D

Mexican straw hat indicate that the block and parallel modeling based on NN is more precise and faster in computation than the direct ones and it is obviously a concrete example and the development of the large-scale general model

established by Tu Xuyaa.

Key words:

model, nonlinear continuous mappingcolor:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, text-decoration:none, ">, neural networkcolor:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, text-decoration:none, ">, parallel modelling

Yang Guowei, Tu Xuyan & Wang Shoujue.

Block and parallel modelling of broad domain nonlinear continuous mapping based on NN

[J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 586-592.

[1]	Shixin WANG, Yuan ZHAO, Ibrahim LAILA, Ying XIONG, Jun WANG, Bin TANG. Joint 2D DOA and Doppler frequency estimation for L-shaped array using compressive sensing [J]. Journal of Systems Engineering and Electronics, 2020, 31(1): 28-36.
[2]	Zhizhong Fu, Xue Wang, Yuan Li, Xiaohui Yang, and Jin Xu. Adaptive luminance adjustment and neighborhood spreading strength information based view synthesis [J]. Systems Engineering and Electronics, 2016, 27(3): 721-729.
[3]	Danfeng Zhao, Yanbo Sun, and Rui Xue. Improved iterative convergence method in Q -ary LDPC coded high order PR-CPM [J]. Systems Engineering and Electronics, 2016, 27(3): 541-548.
[4]	Haifen Yang, Ning Ding, Zhi Zheng, Shuisheng Lin, Zhongpei Zhang, and Guangjun Li. Collaborative beamforming based on directional perturbation using one bit feedback [J]. Systems Engineering and Electronics, 2016, 27(3): 549-554.
[5]	Mingyong Liu, Baogui Xu, and Xingguang Peng. Cooperative path planning for multi-AUV in time-varying ocean flows [J]. Systems Engineering and Electronics, 2016, 27(3): 612-618.
[6]	Lingjun Kong,Yang Xiao,Ming Lei, and Ye Huang. LLR calculation for LDPC coded SCBT in 60 GHz WPAN [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 734-739.
[7]	Guifen Xia, Hongyan Su, and Peikang Huang. Velocity compensation methods for LPRF modulated frequency stepped-frequency (MFSF) radar [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 746-751.
[8]	Feng Yang, Liang Liang, Zhaoqiong Li, and Shaofu Du. Integrating dual-role variables in data envelopment analysis [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 771-776.
[9]	Yan Wu, Yuping Wang, Xiaoxiong Liu, and Jimin Ye. Multi-population and diffusion UMDA for dynamic multimodal problems [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 777-783.
[10]	Jia Zeng, Xiaoke Yang, Lingyu Yang, and Gongzhang Shen. Modeling for UAV resource scheduling under mission synchronization [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 821-826.
[11]	Weisheng Chen and Ruihong Li. Adaptive output-feedback control for MIMO nonlinear systems with time-varying delays using neural networks [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 850-858.
[12]	Yanyan Yin and Fei Liu. Constrained predictive control of nonlinear stochastic systems [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 859-867.
[13]	Xuan Li, Xiaobei Wu, Zhiliang Xu, and Cheng Huang. Fault detection observer design for networked control system with long time-delays and data packet dropout [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 877-882.
[14]	Jianqiao Yu, Guanchen Luo, and Wentao Yin. Missile robust gain scheduling autopilot design using full block multipliers [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 883-891.
[15]	Xuebin Zhuang, Xiaowei Cui, Mingquan Lu, and Zhenming Feng. Low-complexity method for DOA estimation based on ESPRIT [J]. Journal of Systems Engineering and Electronics, 2010, 21(5): 729-733.

Block and parallel modelling of broad domain nonlinear continuous mapping based on NN

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments