Fuzzy Deconvolution of Hormone Time-Series
نویسنده
چکیده
In this paper we describe a method to nd the Instantaneous Secretion Rate of a hormone. The dynamics of the relation between secretion rate and peripheral plasma hormone concentration is rst identiied by using learning signals. The fuzzy identii-cation method is based on fuzzy clustering and optimal output predefuzziication. The proposed method leads to a fuzzy inference system which is able to perform the decon-volution, i.e. reconstruction of the unknown secretion rate. The results compare well with other deconvolution methods.
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