DocumentCode :
1563467
Title :
The Structure and Function of Neurons with Variable Nonlinear Transfer Function
Author :
Wang, Shoujue ; Liu, Yangyang
Author_Institution :
Inst. of Semicond., Chinese Acad. of Sci., Beijing
Volume :
1
fYear :
2005
Firstpage :
298
Lastpage :
300
Abstract :
One novel neuron with variable nonlinear transfer function is firstly proposed, It could also be called as subsection transfer function neuron. With different transfer function components, by virtue of multi-thresholded, the variable transfer function neuron switch on among different nonlinear excited state. And the comparison of output´s transfer characteristics between it and single-thresholded neuron is illustrated, with some practical application experiments on bi-level logic operation, at last the simple comparison with conventional BP, RBF, and even DBF NN is taken to expect the development foreground on the variable neuron. The novel nonlinear transfer function neuron could implement the random nonlinear mapping relationship between input layer and output layer, which could make variable transfer function neuron have one much wider applications on lots of research realm such as function approximation, pattern recognition, data compress and so on
Keywords :
neural nets; transfer functions; bi-level logic operation; nonlinear mapping relationship; subsection transfer function; variable neurons; variable nonlinear transfer function; Artificial neural networks; Fuzzy logic; Laboratories; Mathematical model; Multivalued logic; Neural networks; Neurons; Pattern recognition; Switches; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614619
Filename :
1614619
Link To Document :
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