Matches in SemOpenAlex for { <https://semopenalex.org/work/W2757978110> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2757978110 endingPage "77" @default.
- W2757978110 startingPage "69" @default.
- W2757978110 abstract "Multilayer perceptron (MLP) is the most popular neural network method and it has been widely used for many practical applications. In this paper, recently developed interior search algorithm (ISA) is proposed for training MLP. Five of most important standard classification datasets (balloon, XOR, Iris, heart, and breast cancer) are employed to evaluate the proposed algorithm performance. The obtained results from ISA-based are compared with five well-known algorithms including ant colony optimization (ACO), genetic algorithm (GA), particle swarm optimization (PSO), population-based incremental learning (PBIL), and evolution strategy (ES). The statistical results reflect that the performance of the proposed algorithm can train MLPs with a very high degree of accuracy and it is capable of outperforming the well-known algorithms. The results also show that the high convergence rate of the ISA and it is potential to avoid local minima." @default.
- W2757978110 created "2017-10-06" @default.
- W2757978110 creator A5018179243 @default.
- W2757978110 creator A5050313803 @default.
- W2757978110 creator A5054095492 @default.
- W2757978110 creator A5056006330 @default.
- W2757978110 creator A5059232665 @default.
- W2757978110 creator A5079039444 @default.
- W2757978110 date "2017-09-29" @default.
- W2757978110 modified "2023-09-24" @default.
- W2757978110 title "Training Multilayer Perceptrons in Neural Network Using Interior Search Algorithm" @default.
- W2757978110 cites W1763200058 @default.
- W2757978110 cites W1967402817 @default.
- W2757978110 cites W1971259134 @default.
- W2757978110 cites W1980526844 @default.
- W2757978110 cites W1986760892 @default.
- W2757978110 cites W2002302337 @default.
- W2757978110 cites W2033731173 @default.
- W2757978110 cites W2102423302 @default.
- W2757978110 cites W2165301864 @default.
- W2757978110 cites W4244471710 @default.
- W2757978110 doi "https://doi.org/10.1007/978-981-10-3773-3_8" @default.
- W2757978110 hasPublicationYear "2017" @default.
- W2757978110 type Work @default.
- W2757978110 sameAs 2757978110 @default.
- W2757978110 citedByCount "1" @default.
- W2757978110 countsByYear W27579781102021 @default.
- W2757978110 crossrefType "book-chapter" @default.
- W2757978110 hasAuthorship W2757978110A5018179243 @default.
- W2757978110 hasAuthorship W2757978110A5050313803 @default.
- W2757978110 hasAuthorship W2757978110A5054095492 @default.
- W2757978110 hasAuthorship W2757978110A5056006330 @default.
- W2757978110 hasAuthorship W2757978110A5059232665 @default.
- W2757978110 hasAuthorship W2757978110A5079039444 @default.
- W2757978110 hasConcept C11413529 @default.
- W2757978110 hasConcept C153180895 @default.
- W2757978110 hasConcept C153294291 @default.
- W2757978110 hasConcept C154945302 @default.
- W2757978110 hasConcept C205649164 @default.
- W2757978110 hasConcept C2777211547 @default.
- W2757978110 hasConcept C41008148 @default.
- W2757978110 hasConcept C50644808 @default.
- W2757978110 hasConcept C60908668 @default.
- W2757978110 hasConceptScore W2757978110C11413529 @default.
- W2757978110 hasConceptScore W2757978110C153180895 @default.
- W2757978110 hasConceptScore W2757978110C153294291 @default.
- W2757978110 hasConceptScore W2757978110C154945302 @default.
- W2757978110 hasConceptScore W2757978110C205649164 @default.
- W2757978110 hasConceptScore W2757978110C2777211547 @default.
- W2757978110 hasConceptScore W2757978110C41008148 @default.
- W2757978110 hasConceptScore W2757978110C50644808 @default.
- W2757978110 hasConceptScore W2757978110C60908668 @default.
- W2757978110 hasLocation W27579781101 @default.
- W2757978110 hasOpenAccess W2757978110 @default.
- W2757978110 hasPrimaryLocation W27579781101 @default.
- W2757978110 hasRelatedWork W1902766772 @default.
- W2757978110 hasRelatedWork W2073219746 @default.
- W2757978110 hasRelatedWork W2078674814 @default.
- W2757978110 hasRelatedWork W2338394561 @default.
- W2757978110 hasRelatedWork W2380307146 @default.
- W2757978110 hasRelatedWork W2405544437 @default.
- W2757978110 hasRelatedWork W3021094884 @default.
- W2757978110 hasRelatedWork W3106494386 @default.
- W2757978110 hasRelatedWork W4220672327 @default.
- W2757978110 hasRelatedWork W4221160179 @default.
- W2757978110 isParatext "false" @default.
- W2757978110 isRetracted "false" @default.
- W2757978110 magId "2757978110" @default.
- W2757978110 workType "book-chapter" @default.