Classiication of Radiation Spectra Using Map of Linear Classiiers
نویسندگان
چکیده
This paper presents a new classiication tool | based on evolutionary computing and competitive learning | and applies it for classiication of real radiation spectra. The algorithm is able to nd those bands of spectrum (or features) that are meaningful for the classiication, and secondly, it is able to present the mapping as an ordered collection of competitive simple linear classiiers.
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