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An efficient computational algorithm for min-max operations

delete1999-06-01
delete12
PRE
AI
X
Xinghu Zhang *
C
Chang-Chieh Hang
P
Peizhuang Wang
DOI:10.1016/S0165-0114(97)00207-8delete
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Abstract

Abstract

En 中文
This paper describes an efficient computational algorithm for evaluating min-max operations and the derivatives of min-max functions, which are common computation problems in the training of many types of fuzzy neural networks. Analysis and simulation are used to assess the efficiency of the computational algorithm developed in this paper. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
NEURAL NETWORKS
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Fuzzy Sets and Systems cover
Fuzzy Sets and Systems
IF:
2.7
Papers:
7.6K
Citations:
1.5W

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No organization information available
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