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1999, Statistics for engineering and information science., ISBN 0387987452, xvi, 340
Book
IEEE Transactions on Cybernetics, ISSN 2168-2267, 01/2019, Volume 49, Issue 1, pp. 221 - 232
Journal Article
Journal of Food Engineering, ISSN 0260-8774, 12/2014, Volume 143, pp. 167 - 177
Journal Article
2001, Adaptive and learning systems for signal processing, communications, and control., ISBN 9780471349112, x, 298
Book
Journal Article
Information Sciences, ISSN 0020-0255, 04/2014, Volume 264, pp. 104 - 117
Negative correlation learning (NCL) aims to produce ensembles with sound generalization capability through controlling the disagreement among base learners’... 
Data regression | Random vector function link networks | Neural network ensembles | Negative correlation learning | REGRESSION | FUNCTIONAL-LINK NET | NEGATIVE CORRELATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | MULTILAYER FEEDFORWARD NETWORKS | Neural networks | Analysis | Algorithms
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 07/2014, Volume 41, Issue 9, pp. 4235 - 4244
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 05/2019, Volume 30, Issue 5, pp. 1286 - 1295
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2015, Volume 148, pp. 430 - 444
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Journal Article
Neural Networks, ISSN 0893-6080, 01/2019, Volume 109, pp. 6 - 18
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 2005, Volume 160, Issue 2, pp. 501 - 514
Neural networks have been widely used as a promising method for time series forecasting. However, limited empirical studies on seasonal time series forecasting... 
Box–Jenkins method | Neural networks | Forecasting | Seasonality | Time series | Box-Jenkins method | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | forecasting | neural networks | time series | MULTILAYER FEEDFORWARD NETWORKS | ADJUSTMENT | seasonality | ACCURACY | Usage | Time-series analysis | Methods
Journal Article