doi: 10.4304/jsw.8.2.443-450
Expansion Type Functional Neuron Network Model and Its Parameters to Directly Determine the Method
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.
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)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
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