Result 41 to 60 of 76 total
Selective neural network ensemble methods based on chaos PSO. (Chinese)
J. Comput. Appl. 28, No. 11, 2844-2846 (2008).
41
Sneak circuit analysis based on novel coadjacent neural network model for reliability control of complex system. (Chinese)
Acta Autom. Sin. 34, No. 2, 188-194 (2008).
42
Evolving an ensemble of neural networks using artificial immune systems. (English)
Li, Xiaodong (ed.) et al., Simulated evolution and learning. 7th international conference, SEAL 2008, Melbourne, Australia, December 7‒10, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-89693-7/pbk). Lecture Notes in Computer Science 5361, 121-130 (2008).
43
An EMD-based neural network ensemble learning model for world crude oil spot price forecasting. (English)
Prasad, Bhanu (ed.), Soft computing applications in business. Berlin: Springer (ISBN 978-3-540-79004-4/hbk). Studies in Fuzziness and Soft Computing 230, 261-271 (2008).
44
An evolutionary programming based knowledge ensemble model for business risk identification. (English)
Prasad, Bhanu (ed.), Soft computing applications in business. Berlin: Springer (ISBN 978-3-540-79004-4/hbk). Studies in Fuzziness and Soft Computing 230, 57-72 (2008).
45
Activities prediction of drug molecules by using the optimal ensemble based on uniform design. (English)
Huang, De-Shuang (ed.) et al., Advanced intelligent computing theories and applications. With aspects of theoretical and methodological issues. 4th international conference on intelligent computing, ICIC 2008, Shanghai, China, September 15‒18, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-87440-9/pbk). Lecture Notes in Computer Science 5226, 106-113 (2008).
46
An ensemble approach for the diagnosis of cognitive decline with missing data. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligence systems. Third international workshop, HAIS 2008, Burgos, Spain, September 24‒26, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-87655-7/pbk). Lecture Notes in Computer Science 5271. Lecture Notes in Artificial Intelligence, 353-360 (2008).
47
Diverse evolutionary neural networks based on information theory. (English)
Ishikawa, Masumi (ed.) et al., Neural information processing. 14th international conference, ICONIP 2007, Kitakyushu, Japan, November 13‒16, 2007. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-540-69159-4/pbk). Lecture Notes in Computer Science 4985, 1007-1016 (2008).
48
Modeling var in crude oil market: A multi scale nonlinear ensemble approach incorporating wavelet analysis and ANN. (English)
Shi, Yong (ed.) et al., Computational science ‒ ICCS 2007. 7th international conference, Beijing, China, May 27‒30, 2007. Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-72583-1/pbk). Lecture Notes in Computer Science 4487, 554-561 (2007).
49
Rough neuro voting system for data mining: Application to stock price prediction. (English)
Yao, JingTao (ed.) et al., Rough sets and knowledge technology. Second international conference, RSKT 2007, Toronto, Canada, May 14‒16, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-72457-5/pbk). Lecture Notes in Computer Science 4481. Lecture Notes in Artificial Intelligence, 558-565 (2007).
50
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs. (English)
Neural Comput. Appl. 16, No. 3, 307-316 (2007).
51
Neural network ensemble and support vector machine classifiers: an application to remote sensed data. (English)
Di Gesù, Vito (ed.) et al., Fuzzy logic and applications. 5th international workshop, WILF 2003, Naples, Italy, October 9‒11, 2003. Revised selected papers. Berlin: Springer (ISBN 3-540-31019-3/pbk). Lecture Notes in Computer Science 2955. Lecture Notes in Artificial Intelligence, 317-323 (2006).
52
A constructive algorithm for training heterogeneous neural network ensemble. (English)
Wang, Guoyin (ed.) et al., Rough sets and knowledge technology. First international conference, RSKT 2006, Chongqing, China, July 24‒26, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-36297-5/pbk). Lecture Notes in Computer Science 4062. Lecture Notes in Artificial Intelligence, 396-401 (2006).
53
Recent advances in evolutionary computation. (English)
J. Comput. Sci. Technol. 21, No. 1, 1-18 (2006).
54
SOM ensemble-based image segmentation. (English)
Neural Process. Lett. 20, No. 3, 171-178 (2004).
55
SOM ensemble-based image segmentation. (English)
Neural Process. Lett. 20, No. 3, 171-178 (2004).
56
Analysis of negative correlation learning. (English)
Wuhan Univ. J. Nat. Sci. 8, No. 1B, 165-175 (2003).
57
Ensembling neural networks: Many could be better than all. (English)
Artif. Intell. 137, No.1-2, 239-263 (2002); corrigendum ibid. 174, No. 18, 1570 (2010).
58
Time series forecasting with neural network ensembles: an application for exchange rate prediction. (English)
J. Oper. Res. Soc. 52, No. 6, 652-664 (2001).
59
Ensemble modelling or selecting the best model: Many could be better than one. (English)
Artif. Intell. Eng. Des. Anal. Manuf. 13, No. 5, 377-386 (1999).
60
Result 41 to 60 of 76 total
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