Matches in SemOpenAlex for { <https://semopenalex.org/work/W4223995791> ?p ?o ?g. }
- W4223995791 endingPage "107534" @default.
- W4223995791 startingPage "107534" @default.
- W4223995791 abstract "To build an enhanced radial basis function neural network (RBFNN) metamodel with improved generalization capabilities, this paper presents a novel sliced splitting-based K-fold cross-validation (SSKCV) method. Cross-validation is a promising method to construct the RBFNN metamodel but suffers the high variance and loss of information of observed sample points. To overcome the intrinsic deficiency, a sliced splitting strategy is proposed to allocate the observed sample points into K mutually exclusive and collectively exhaustive folds as evenly as possible. Further, the novel average expected prediction error (AEPE), analogous to a bias-variance tradeoff, is introduced as the loss function in SSKCV, which is more capable to evaluate the generalization error of the RBFNN metamodel. Finally, the optimal parameters in the RBFNN metamodels are determined by the SSKCV method, which enhances the metamodelling efficiency and precision. Compared with other variants of SSKCV and the state-of-art blind Kriging, the benefits of the SSKCV method in achieving excellent generalization performance are both validated in the high dimensional numerical benchmarks and the stiffened cylindrical shells." @default.
- W4223995791 created "2022-04-19" @default.
- W4223995791 creator A5004565086 @default.
- W4223995791 creator A5025415023 @default.
- W4223995791 creator A5028090675 @default.
- W4223995791 creator A5028475407 @default.
- W4223995791 creator A5035730684 @default.
- W4223995791 creator A5036052533 @default.
- W4223995791 creator A5060434274 @default.
- W4223995791 date "2022-05-01" @default.
- W4223995791 modified "2023-10-15" @default.
- W4223995791 title "Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells" @default.
- W4223995791 cites W1573878755 @default.
- W4223995791 cites W1963848948 @default.
- W4223995791 cites W1981270896 @default.
- W4223995791 cites W1999861463 @default.
- W4223995791 cites W2000515020 @default.
- W4223995791 cites W2017564347 @default.
- W4223995791 cites W2019629069 @default.
- W4223995791 cites W2030757653 @default.
- W4223995791 cites W2037134894 @default.
- W4223995791 cites W2051562315 @default.
- W4223995791 cites W2077562320 @default.
- W4223995791 cites W2088990166 @default.
- W4223995791 cites W2092970077 @default.
- W4223995791 cites W2093022009 @default.
- W4223995791 cites W2093100808 @default.
- W4223995791 cites W2100128988 @default.
- W4223995791 cites W2105782540 @default.
- W4223995791 cites W2115620436 @default.
- W4223995791 cites W2120199131 @default.
- W4223995791 cites W2127400268 @default.
- W4223995791 cites W2145475762 @default.
- W4223995791 cites W2150029285 @default.
- W4223995791 cites W2150705946 @default.
- W4223995791 cites W2154290668 @default.
- W4223995791 cites W2170519958 @default.
- W4223995791 cites W2239420087 @default.
- W4223995791 cites W2289334616 @default.
- W4223995791 cites W2332199064 @default.
- W4223995791 cites W2388787028 @default.
- W4223995791 cites W2560086249 @default.
- W4223995791 cites W2602158971 @default.
- W4223995791 cites W2605391866 @default.
- W4223995791 cites W2605548712 @default.
- W4223995791 cites W2768552973 @default.
- W4223995791 cites W2786385181 @default.
- W4223995791 cites W2953354961 @default.
- W4223995791 cites W2965082332 @default.
- W4223995791 cites W2966733805 @default.
- W4223995791 cites W2968627148 @default.
- W4223995791 cites W2979387230 @default.
- W4223995791 cites W3007332968 @default.
- W4223995791 cites W303397830 @default.
- W4223995791 cites W3035407017 @default.
- W4223995791 cites W3081968664 @default.
- W4223995791 cites W3091133561 @default.
- W4223995791 cites W3097939264 @default.
- W4223995791 cites W3104887532 @default.
- W4223995791 cites W3105351210 @default.
- W4223995791 cites W3110802017 @default.
- W4223995791 cites W3125005852 @default.
- W4223995791 cites W3130325813 @default.
- W4223995791 cites W3191492140 @default.
- W4223995791 cites W3200987153 @default.
- W4223995791 doi "https://doi.org/10.1016/j.ast.2022.107534" @default.
- W4223995791 hasPublicationYear "2022" @default.
- W4223995791 type Work @default.
- W4223995791 citedByCount "5" @default.
- W4223995791 countsByYear W42239957912023 @default.
- W4223995791 crossrefType "journal-article" @default.
- W4223995791 hasAuthorship W4223995791A5004565086 @default.
- W4223995791 hasAuthorship W4223995791A5025415023 @default.
- W4223995791 hasAuthorship W4223995791A5028090675 @default.
- W4223995791 hasAuthorship W4223995791A5028475407 @default.
- W4223995791 hasAuthorship W4223995791A5035730684 @default.
- W4223995791 hasAuthorship W4223995791A5036052533 @default.
- W4223995791 hasAuthorship W4223995791A5060434274 @default.
- W4223995791 hasConcept C11413529 @default.
- W4223995791 hasConcept C119857082 @default.
- W4223995791 hasConcept C121955636 @default.
- W4223995791 hasConcept C134306372 @default.
- W4223995791 hasConcept C14036430 @default.
- W4223995791 hasConcept C144133560 @default.
- W4223995791 hasConcept C154945302 @default.
- W4223995791 hasConcept C177148314 @default.
- W4223995791 hasConcept C196083921 @default.
- W4223995791 hasConcept C199360897 @default.
- W4223995791 hasConcept C27181475 @default.
- W4223995791 hasConcept C33923547 @default.
- W4223995791 hasConcept C41008148 @default.
- W4223995791 hasConcept C50644808 @default.
- W4223995791 hasConcept C78458016 @default.
- W4223995791 hasConcept C81692654 @default.
- W4223995791 hasConcept C86610423 @default.
- W4223995791 hasConcept C86803240 @default.
- W4223995791 hasConcept C98856871 @default.
- W4223995791 hasConceptScore W4223995791C11413529 @default.