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- W2047143081 abstract "This paper describes a system that can be used to classify an unknown material regardless of the change of ambient temperature using temperature response curve fitting and fuzzy neural network (FNN). There are some problems to realize the classification system using temperature response. It requires too many memories to store the vast temperature response data and it has to be filtered to remove noise which occurs in experiment. And the temperature response is influenced by the change of ambient temperature. So, this paper proposes a practical method using curve fitting to remove above problems of memories and noise. And FNN is proposed to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient temperature and known thermal conductivity (TC), the TC of the material can be inferred on various ambient temperature. So the material can be classified by the TC." @default.
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- W2047143081 date "2001-10-01" @default.
- W2047143081 modified "2023-10-16" @default.
- W2047143081 title "Classification of materials using temperature response curve fitting and fuzzy neural network" @default.
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- W2047143081 doi "https://doi.org/10.1016/s0924-4247(01)00681-1" @default.
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