13 resultados para Missionaries, Medical

em Boston University Digital Common


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http://www.archive.org/details/callqualificatio00studuoft

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http://www.archive.org/details/equatorssnowype00crawuoft

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http://www.archive.org/details/westernmissionsa00smetrich

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http://www.archive.org/details/howfartotheneare012020mbp

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http://www.archive.org/details/portraitsofameri00hawarich

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Reproduction of copy held by Special Collections, Bridewell Library, Perkins School of Theology, Southern Methodist University. Includes both DjVu and PDF files for download. Mode of access: World Wide Web.

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http://www.archive.org/details/lastlettersfurth00unknuoft

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This paper shows how knowledge, in the form of fuzzy rules, can be derived from a self-organizing supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning removes those recognition nodes whose confidence index falls below a selected threshold; and quantization of continuous learned weights allows the final system state to be translated into a usable set of rules. Simulations on a medical prediction problem, the Pima Indian Diabetes (PID) database, illustrate the method. In the simulations, pruned networks about 1/3 the size of the original actually show improved performance. Quantization yields comprehensible rules with only slight degradation in test set prediction performance.