Volume 8 Number 2 (Feb. 2013)
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JSW 2013 Vol.8(2): 443-450 ISSN: 1796-217X
doi: 10.4304/jsw.8.2.443-450

Expansion Type Functional Neuron Network Model and Its Parameters to Directly Determine the Method

Peigang Guo, Yongquan Zhou, Qian Xiao
1College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, 530006, China
2School of Computer and Electronics Information, Guangxi University, Nanning 530004, China

Abstract—In this paper, functional neuron structure will be expanded and deformed in the functional networks, then the expansion type functional neuron network model is obtained, and the pinv Moore-Penrose of matrix is employed, the optimal value of the functional parameters in the functional networks can be rapidly and accurately determined directly. Finally simulation experiments show that the proposed method is feasible and effective, can obtain higher approximation accuracy.

Index Terms—Functional Network; Functional Neuron; Expansion Type Functional Network; Basis Function; Matrix pinv Moore-Penrose.

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Cite: Peigang Guo, Yongquan Zhou, Qian Xiao, "Expansion Type Functional Neuron Network Model and Its Parameters to Directly Determine the Method," Journal of Software vol. 8, no. 2, pp. 443-450, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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