Partial Adversarial Training for Neural Network-Based Uncertainty Quantification
Version 2 2024-06-04, 02:22
Version 1 2020-01-30, 14:21
journal contribution
posted on 2024-06-04, 02:22 authored by HMD Kabir, Abbas KhosraviAbbas Khosravi, S Nahavandi, A Kavousi-FardPartial Adversarial Training for Neural Network-Based Uncertainty Quantification
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Journal
IEEE Transactions on Emerging Topics in Computational IntelligenceVolume
5Pagination
595-606Location
Piscataway, N.J.ISSN
2471-285XeISSN
2471-285XLanguage
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
4Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer ScienceUncertaintyArtificial neural networksTrainingNeuronsProbability distributionElectron mobilityConductorsUncertainty QuantificationHeteroscedastic UncertaintyNeural NetworkPrediction IntervalElectricity PriceMODEL-PREDICTIVE CONTROLINTERVALSCONSTRUCTIONOPTIMIZATION080108 Neural, Evolutionary and Fuzzy Computation4602 Artificial intelligence4605 Data management and data science
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