Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18090
Title: CATSMLP : Toward a robust and interpretable multilayer perceptron with sigmoid activation functions
Authors: Chung, FL 
Wang, S
Deng, Z
Hu, D
Keywords: Cascaded multilayer perceptron (MLP)
Fuzzy systems
Robustness analysis
Syllogistic fuzzy inference
Universal approximation
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics, 2006, v. 36, no. 6, p. 1319-1331 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics 
Abstract: Enhancing the robustness and interpretability of a multilayer perceptron (MLP) with a sigmoid activation function is a challenging topic. As a particular MLP, additive TS-type, MLP (ATSMLP) can be interpreted based on single-stage fuzzy IF-THEN rules, but its robustness will be degraded with the increase in the number of intermediate layers. This paper presents a new MLP model called cascaded ATSMLP (CATSMLP), where the ATSMLPs are organized in a cascaded way. The proposed CATSMLP is a universal approximator and is also proven to be functionally equivalent to a fuzzy inference system based on syllogistic fuzzy reasoning. Therefore, the CATSMLP may be interpreted based on syllogistic fuzzy reasoning in a theoretical sense. Meanwhile, due to the fact that syllogistic fuzzy reasoning has distinctive advantage over single-stage IF-THEN fuzzy reasoning in robustness, this paper proves in an indirect way that the CATSMLP is more robust than the ATSMLP in an upper-bound sense. Several experiments were conducted to confirm such a claim.
URI: http://hdl.handle.net/10397/18090
ISSN: 1083-4419
DOI: 10.1109/TSMCB.2006.875871
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