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Volumn 41, Issue 2, 1998, Pages 185-193

Aspects of network training and validation on noisy data Part 2. Validation aspects

Author keywords

Boostrap; Network training; Validation

Indexed keywords

ANALYTIC METHOD; ARTICLE; CHEMOMETRIC ANALYSIS; DATA ANALYSIS; NERVE CELL NETWORK; NOISE REDUCTION; PREDICTION; PRIORITY JOURNAL; TRAINING; VALIDATION PROCESS;

EID: 0032572553     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(98)00054-9     Document Type: Article
Times cited : (9)

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    • Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
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  • 6
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    • A comparison of some error estimates for neural network models
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    • Bootstrap methods
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  • 10
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    • Approximate confidence intervals in calibration using the bootstrap
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    • Parallel processing in a local area network of computers: Part II. A parallel cross-validation procedure for artificial neural networks
    • Derks E.P.P.A., Beckers M.L.M., Melssen W.J., Buydens L.M.C. Parallel processing in a local area network of computers: Part II. A parallel cross-validation procedure for artificial neural networks. Comput. Chem. 20(4):1996;439-448.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.