Matches in SemOpenAlex for { <https://semopenalex.org/work/W2338809031> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2338809031 endingPage "236" @default.
- W2338809031 startingPage "231" @default.
- W2338809031 abstract "Neural Networks are used as pattern recognition tools in data mining to classify HIV status of individuals based on demographic and socio-economic characteristics. The data consists of seroprevalence survey information and contains variables such as age, education, location, race, parity and gravidity. The multilayer perceptron (MLP) neural network architecture was used for this study since as preliminary design showed this architecture to be the most optimal. The design of classifiers involves the assessment of classification performance, and this is based on the accuracy of the prediction using the confusion matrix. Two design approaches were implemented and a comparative analysis done. An accuracy of 84.24% was obtained for the genetic algorithms meanwhile an accuracy of 74% is obtained for the line search optimized network. The network structures for the different methodologies as well as the training and optimization times are also different. The gradient method proved to be the less computationally expensive but the most erroneous." @default.
- W2338809031 created "2016-06-24" @default.
- W2338809031 creator A5006769984 @default.
- W2338809031 creator A5027192607 @default.
- W2338809031 creator A5061971055 @default.
- W2338809031 creator A5066130528 @default.
- W2338809031 date "2006-02-15" @default.
- W2338809031 modified "2023-09-23" @default.
- W2338809031 title "A comparative study between genetic algorithms and line search algorithm optimization for HIV predictions" @default.
- W2338809031 cites W134710876 @default.
- W2338809031 cites W1525297397 @default.
- W2338809031 cites W1544324307 @default.
- W2338809031 cites W16744654 @default.
- W2338809031 cites W1982740312 @default.
- W2338809031 cites W1983271661 @default.
- W2338809031 cites W2079452076 @default.
- W2338809031 cites W2100906307 @default.
- W2338809031 cites W2116844530 @default.
- W2338809031 cites W2119315254 @default.
- W2338809031 cites W2160999442 @default.
- W2338809031 cites W49486804 @default.
- W2338809031 hasPublicationYear "2006" @default.
- W2338809031 type Work @default.
- W2338809031 sameAs 2338809031 @default.
- W2338809031 citedByCount "2" @default.
- W2338809031 countsByYear W23388090312018 @default.
- W2338809031 crossrefType "proceedings-article" @default.
- W2338809031 hasAuthorship W2338809031A5006769984 @default.
- W2338809031 hasAuthorship W2338809031A5027192607 @default.
- W2338809031 hasAuthorship W2338809031A5061971055 @default.
- W2338809031 hasAuthorship W2338809031A5066130528 @default.
- W2338809031 hasConcept C11413529 @default.
- W2338809031 hasConcept C119857082 @default.
- W2338809031 hasConcept C124101348 @default.
- W2338809031 hasConcept C126255220 @default.
- W2338809031 hasConcept C138602881 @default.
- W2338809031 hasConcept C154945302 @default.
- W2338809031 hasConcept C179717631 @default.
- W2338809031 hasConcept C2987595161 @default.
- W2338809031 hasConcept C33923547 @default.
- W2338809031 hasConcept C41008148 @default.
- W2338809031 hasConcept C50644808 @default.
- W2338809031 hasConcept C8880873 @default.
- W2338809031 hasConceptScore W2338809031C11413529 @default.
- W2338809031 hasConceptScore W2338809031C119857082 @default.
- W2338809031 hasConceptScore W2338809031C124101348 @default.
- W2338809031 hasConceptScore W2338809031C126255220 @default.
- W2338809031 hasConceptScore W2338809031C138602881 @default.
- W2338809031 hasConceptScore W2338809031C154945302 @default.
- W2338809031 hasConceptScore W2338809031C179717631 @default.
- W2338809031 hasConceptScore W2338809031C2987595161 @default.
- W2338809031 hasConceptScore W2338809031C33923547 @default.
- W2338809031 hasConceptScore W2338809031C41008148 @default.
- W2338809031 hasConceptScore W2338809031C50644808 @default.
- W2338809031 hasConceptScore W2338809031C8880873 @default.
- W2338809031 hasLocation W23388090311 @default.
- W2338809031 hasOpenAccess W2338809031 @default.
- W2338809031 hasPrimaryLocation W23388090311 @default.
- W2338809031 hasRelatedWork W1981530348 @default.
- W2338809031 hasRelatedWork W1989082727 @default.
- W2338809031 hasRelatedWork W2046163100 @default.
- W2338809031 hasRelatedWork W2088648328 @default.
- W2338809031 hasRelatedWork W2097529207 @default.
- W2338809031 hasRelatedWork W2111532873 @default.
- W2338809031 hasRelatedWork W2120139522 @default.
- W2338809031 hasRelatedWork W2122481046 @default.
- W2338809031 hasRelatedWork W2132318355 @default.
- W2338809031 hasRelatedWork W2138504547 @default.
- W2338809031 hasRelatedWork W2138742345 @default.
- W2338809031 hasRelatedWork W2141791517 @default.
- W2338809031 hasRelatedWork W2279392542 @default.
- W2338809031 hasRelatedWork W2317513234 @default.
- W2338809031 hasRelatedWork W2354184941 @default.
- W2338809031 hasRelatedWork W2915567792 @default.
- W2338809031 hasRelatedWork W2963914981 @default.
- W2338809031 hasRelatedWork W3155653037 @default.
- W2338809031 hasRelatedWork W3203214786 @default.
- W2338809031 hasRelatedWork W54626961 @default.
- W2338809031 isParatext "false" @default.
- W2338809031 isRetracted "false" @default.
- W2338809031 magId "2338809031" @default.
- W2338809031 workType "article" @default.