Matches in SemOpenAlex for { <https://semopenalex.org/work/W2043701680> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2043701680 endingPage "1482" @default.
- W2043701680 startingPage "1469" @default.
- W2043701680 abstract "There are many different criteria for the comparative analysis of pattern classifiers. They include generalization ability, computational complexity and understanding of the feature space. In some applications such as the medical diagnostic systems it is crucial to use reliable tools, whose behavior is always predictable, so that the risk of misdiagnosis is minimized. In such applications the use of the popular feedforward backpropagation (BP) neural network algorithm can be seen as questionable. This is because it is not inherent for the backpropagation method to analyze the problem's feature space during training, which can sometimes result in inadequate decision surfaces. A novel convex-set-based neuro-fuzzy algorithm for classification of difficult-to-diagnose instances of breast cancer is described in this paper. With its structural approach to feature space the new method offers rational advantages over the backpropagation algorithm. The classification performance, computational and structural efficiencies are analyzed and compared with that of the BP network. A 20-dimensional set of “difficult-to-diagnose” mammographic microcalcifications was used to evaluate the neuro-fuzzy pattern classifier (NFPC) and the BP methods. In order to evaluate the learning ability of both methods, the relative size of training sets was varied from 40 to 90%. The comparative results obtained using receiver operating characteristic (ROC) analysis show that the ability of the convex-set-based method to infer knowledge was better than that of backpropagation in all of the tests performed, making it more suitable for use in real diagnostic systems." @default.
- W2043701680 created "2016-06-24" @default.
- W2043701680 creator A5022808200 @default.
- W2043701680 creator A5081738103 @default.
- W2043701680 date "2001-01-01" @default.
- W2043701680 modified "2023-10-16" @default.
- W2043701680 title "Fuzzy convex set-based pattern classification for analysis of mammographic microcalcifications" @default.
- W2043701680 cites W2007187232 @default.
- W2043701680 cites W2009177749 @default.
- W2043701680 cites W2011909934 @default.
- W2043701680 cites W2022740958 @default.
- W2043701680 cites W2033245860 @default.
- W2043701680 cites W2039907730 @default.
- W2043701680 cites W2095727900 @default.
- W2043701680 cites W2100654013 @default.
- W2043701680 cites W2108047627 @default.
- W2043701680 cites W2110620740 @default.
- W2043701680 cites W2113466993 @default.
- W2043701680 cites W2117238314 @default.
- W2043701680 cites W2125408827 @default.
- W2043701680 cites W2131204291 @default.
- W2043701680 cites W2141914795 @default.
- W2043701680 cites W2146003024 @default.
- W2043701680 cites W2149914169 @default.
- W2043701680 cites W2160643689 @default.
- W2043701680 cites W2163714625 @default.
- W2043701680 cites W2165640958 @default.
- W2043701680 doi "https://doi.org/10.1016/s0031-3203(00)00085-6" @default.
- W2043701680 hasPublicationYear "2001" @default.
- W2043701680 type Work @default.
- W2043701680 sameAs 2043701680 @default.
- W2043701680 citedByCount "14" @default.
- W2043701680 countsByYear W20437016802012 @default.
- W2043701680 countsByYear W20437016802015 @default.
- W2043701680 crossrefType "journal-article" @default.
- W2043701680 hasAuthorship W2043701680A5022808200 @default.
- W2043701680 hasAuthorship W2043701680A5081738103 @default.
- W2043701680 hasConcept C119857082 @default.
- W2043701680 hasConcept C138885662 @default.
- W2043701680 hasConcept C153180895 @default.
- W2043701680 hasConcept C154945302 @default.
- W2043701680 hasConcept C155032097 @default.
- W2043701680 hasConcept C2776401178 @default.
- W2043701680 hasConcept C41008148 @default.
- W2043701680 hasConcept C41895202 @default.
- W2043701680 hasConcept C42011625 @default.
- W2043701680 hasConcept C50644808 @default.
- W2043701680 hasConcept C58166 @default.
- W2043701680 hasConcept C83665646 @default.
- W2043701680 hasConcept C95623464 @default.
- W2043701680 hasConceptScore W2043701680C119857082 @default.
- W2043701680 hasConceptScore W2043701680C138885662 @default.
- W2043701680 hasConceptScore W2043701680C153180895 @default.
- W2043701680 hasConceptScore W2043701680C154945302 @default.
- W2043701680 hasConceptScore W2043701680C155032097 @default.
- W2043701680 hasConceptScore W2043701680C2776401178 @default.
- W2043701680 hasConceptScore W2043701680C41008148 @default.
- W2043701680 hasConceptScore W2043701680C41895202 @default.
- W2043701680 hasConceptScore W2043701680C42011625 @default.
- W2043701680 hasConceptScore W2043701680C50644808 @default.
- W2043701680 hasConceptScore W2043701680C58166 @default.
- W2043701680 hasConceptScore W2043701680C83665646 @default.
- W2043701680 hasConceptScore W2043701680C95623464 @default.
- W2043701680 hasIssue "7" @default.
- W2043701680 hasLocation W20437016801 @default.
- W2043701680 hasOpenAccess W2043701680 @default.
- W2043701680 hasPrimaryLocation W20437016801 @default.
- W2043701680 hasRelatedWork W1863534956 @default.
- W2043701680 hasRelatedWork W1868434454 @default.
- W2043701680 hasRelatedWork W1966421350 @default.
- W2043701680 hasRelatedWork W2088845016 @default.
- W2043701680 hasRelatedWork W2128396103 @default.
- W2043701680 hasRelatedWork W4239286941 @default.
- W2043701680 hasRelatedWork W4366984740 @default.
- W2043701680 hasRelatedWork W4366985237 @default.
- W2043701680 hasRelatedWork W4367365565 @default.
- W2043701680 hasRelatedWork W589102260 @default.
- W2043701680 hasVolume "34" @default.
- W2043701680 isParatext "false" @default.
- W2043701680 isRetracted "false" @default.
- W2043701680 magId "2043701680" @default.
- W2043701680 workType "article" @default.