Fuzzy-Neural Modules for Evaluation of Technological and Reliability Characteristics in Industrial Products
Journal Title: RECENT - Year 2012, Vol 13, Issue 34
Abstract
The present paper describes the development of a modular fuzzy-neural (FN) system, designated for practical application of fuzzy sets for determination of fuzzy membership functions. A NN-structure, possessing a back propagation learning algorithm, which is developed under monotonic function constraints, is applied for generation of fuzzy membership functions. The so-developed FN structures and the generated fuzzy membership functions are then applied for evaluation of technological and reliability characteristics, but also for revealing the relationships, existing between the properties of some particular industrial products (e.g., XPS thermal insulation boards, applied in construction industry).
Authors and Affiliations
Konstantin DIMITROV
Keywords
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