FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968809506> ?p ?o ?g. }

• W2968809506 abstract "Inventory forecasting is a key component of effective inventory management. In this work, we utilise hybrid deep learning models for inventory forecasting. According to the highly nonlinear and non-stationary characteristics of inventory data, the models employ Long Short-Term Memory (LSTM) to capture long temporal dependencies and Convolutional Neural Network (CNN) to learn the local trend features. However, designing optimal CNN-LSTM network architecture and tuning parameters can be challenging and would require consistent human supervision. To automate optimal architecture searching of CNN-LSTM, we implement three meta-heuristics: a Particle Swarm Optimisation (PSO) and two Differential Evolution (DE) variants. Computational experiments on real-world inventory forecasting problems are conducted to evaluate the performance of the applied meta-heuristics in terms of evolved network architectures for obtaining prediction accuracy. Moreover, the evolved CNN-LSTM models are also compared to Seasonal Auto-regressive Integrated Moving Average (SARIMA) models for inventory forecasting problems. The experimental results indicate that the evolved CNN-LSTM models are capable of dealing with complex nonlinear inventory forecasting problem." @default.
• W2968809506 created "2019-08-22" @default.
• W2968809506 creator A5037965570 @default.
• W2968809506 creator A5051446557 @default.
• W2968809506 creator A5075541426 @default.
• W2968809506 creator A5089151761 @default.
• W2968809506 date "2019-06-01" @default.
• W2968809506 modified "2023-10-02" @default.
• W2968809506 title "Evolving Deep CNN-LSTMs for Inventory Time Series Prediction" @default.
• W2968809506 cites W1595159159 @default.
• W2968809506 cites W1600744878 @default.
• W2968809506 cites W171946191 @default.
• W2968809506 cites W1947481528 @default.
• W2968809506 cites W2039424134 @default.
• W2968809506 cites W2046352503 @default.
• W2968809506 cites W2064675550 @default.
• W2968809506 cites W2075694051 @default.
• W2968809506 cites W2085273102 @default.
• W2968809506 cites W2085434313 @default.
• W2968809506 cites W2097117768 @default.
• W2968809506 cites W2106351878 @default.
• W2968809506 cites W2127130980 @default.
• W2968809506 cites W2149558078 @default.
• W2968809506 cites W2152195021 @default.
• W2968809506 cites W2154361745 @default.
• W2968809506 cites W2158777221 @default.
• W2968809506 cites W2161163382 @default.
• W2968809506 cites W2194775991 @default.
• W2968809506 cites W2310612427 @default.
• W2968809506 cites W2741097030 @default.
• W2968809506 cites W2782977972 @default.
• W2968809506 cites W2805596320 @default.
• W2968809506 cites W2922303256 @default.
• W2968809506 cites W2963745697 @default.
• W2968809506 cites W2964016673 @default.
• W2968809506 doi "https://doi.org/10.1109/cec.2019.8789957" @default.
• W2968809506 hasPublicationYear "2019" @default.
• W2968809506 type Work @default.
• W2968809506 sameAs 2968809506 @default.
• W2968809506 citedByCount "27" @default.
• W2968809506 countsByYear W29688095062020 @default.
• W2968809506 countsByYear W29688095062021 @default.
• W2968809506 countsByYear W29688095062022 @default.
• W2968809506 countsByYear W29688095062023 @default.
• W2968809506 crossrefType "proceedings-article" @default.
• W2968809506 hasAuthorship W2968809506A5037965570 @default.
• W2968809506 hasAuthorship W2968809506A5051446557 @default.
• W2968809506 hasAuthorship W2968809506A5075541426 @default.
• W2968809506 hasAuthorship W2968809506A5089151761 @default.
• W2968809506 hasBestOaLocation W29688095062 @default.
• W2968809506 hasConcept C108583219 @default.
• W2968809506 hasConcept C111919701 @default.
• W2968809506 hasConcept C119857082 @default.
• W2968809506 hasConcept C121332964 @default.
• W2968809506 hasConcept C124101348 @default.
• W2968809506 hasConcept C127705205 @default.
• W2968809506 hasConcept C151406439 @default.
• W2968809506 hasConcept C154945302 @default.
• W2968809506 hasConcept C168167062 @default.
• W2968809506 hasConcept C26517878 @default.
• W2968809506 hasConcept C38652104 @default.
• W2968809506 hasConcept C41008148 @default.
• W2968809506 hasConcept C50644808 @default.
• W2968809506 hasConcept C74750220 @default.
• W2968809506 hasConcept C81363708 @default.
• W2968809506 hasConcept C85617194 @default.
• W2968809506 hasConcept C97355855 @default.
• W2968809506 hasConceptScore W2968809506C108583219 @default.
• W2968809506 hasConceptScore W2968809506C111919701 @default.
• W2968809506 hasConceptScore W2968809506C119857082 @default.
• W2968809506 hasConceptScore W2968809506C121332964 @default.
• W2968809506 hasConceptScore W2968809506C124101348 @default.
• W2968809506 hasConceptScore W2968809506C127705205 @default.
• W2968809506 hasConceptScore W2968809506C151406439 @default.
• W2968809506 hasConceptScore W2968809506C154945302 @default.
• W2968809506 hasConceptScore W2968809506C168167062 @default.
• W2968809506 hasConceptScore W2968809506C26517878 @default.
• W2968809506 hasConceptScore W2968809506C38652104 @default.
• W2968809506 hasConceptScore W2968809506C41008148 @default.
• W2968809506 hasConceptScore W2968809506C50644808 @default.
• W2968809506 hasConceptScore W2968809506C74750220 @default.
• W2968809506 hasConceptScore W2968809506C81363708 @default.
• W2968809506 hasConceptScore W2968809506C85617194 @default.
• W2968809506 hasConceptScore W2968809506C97355855 @default.
• W2968809506 hasLocation W29688095061 @default.
• W2968809506 hasLocation W29688095062 @default.
• W2968809506 hasLocation W29688095063 @default.
• W2968809506 hasOpenAccess W2968809506 @default.
• W2968809506 hasPrimaryLocation W29688095061 @default.
• W2968809506 hasRelatedWork W2337926734 @default.
• W2968809506 hasRelatedWork W2963958939 @default.
• W2968809506 hasRelatedWork W3173182854 @default.
• W2968809506 hasRelatedWork W4213225422 @default.
• W2968809506 hasRelatedWork W4309045103 @default.
• W2968809506 hasRelatedWork W4311257506 @default.
• W2968809506 hasRelatedWork W4312417841 @default.
• W2968809506 hasRelatedWork W4320802194 @default.
• W2968809506 hasRelatedWork W4321369474 @default.
• W2968809506 hasRelatedWork W4366224123 @default.
• W2968809506 isParatext "false" @default.

• next