Design of Sigmoid Activation Functions for Fuzzy Cognitive Maps via Lyapunov Stability Analysis

Title
Design of Sigmoid Activation Functions for Fuzzy Cognitive Maps via Lyapunov Stability Analysis
Author(s)
권순학이인근[이인근]
Keywords
NEURAL-NETWORKS; DISCRETE; DELAYS
Issue Date
201010
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E93D, no.10, pp.2883 - 2886
Abstract
Fuzzy cognitive maps (FCMs) are used to support decision-making, and the decision processes are performed by inference of FCMs. The inference greatly depends on activation functions such as sigmoid function, hyperbolic tangent function, step function, and threshold linear function. However, the sigmoid functions widely used for decision-making processes have been designed by experts. Therefore, we propose a method for designing sigmoid functions through Lyapunov stability analysis. We show the usefulness of the proposed method through the experimental results in inference of FCMs using the designed sigmoid functions.
URI
http://hdl.handle.net/YU.REPOSITORY/23474http://dx.doi.org/10.1587/transinf.E93.D.2883
ISSN
0916-8532
Appears in Collections:
공과대학 > 전기공학과 > Articles
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