Result 1 to 20 of 63 total
Integration of intelligent information technologies ensembles for modeling and classification. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligent systems. 7th international conference, HAIS 2012, Salamanca, Spain, March 28‒30, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-28941-5/pbk). Lecture Notes in Computer Science 7208. Lecture Notes in Artificial Intelligence, 365-374 (2012).
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Heuristic forecasting of geometry deterioration of high speed railway tracks. (English)
Moreno-Díaz, Roberto (ed.) et al., Computer aided systems theory ‒ EUROCAST 2011. 13th international conference, Las Palmas de Gran Canaria, Spain, February 6‒11, 2011. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-642-27578-4/pbk). Lecture Notes in Computer Science 6928, 609-616 (2012).
2
Adaptive fuzzy-GARCH model applied to forecasting the volatility of stock markets using particle swarm optimization. (English)
Inf. Sci. 181, No. 20, 4673-4683 (2011).
3
Using hierarchical task decomposition as a grammar to map actions in context: application to forecasting systems in supply chain planning. (English)
Int. J. Hum.-Comput. Stud. 69, No. 4, 234-250 (2011).
4
Application of chaos and neural network in power load forecasting. (English)
Discrete Dyn. Nat. Soc. 2011, Article ID 597634, 12 p. (2011).
5
Multiagent Bayesian forecasting of structural time-invariant dynamic systems with graphical models. (English)
Int. J. Approx. Reasoning 52, No. 7, 960-977 (2011).
6
Strategic bidding methodology for electricity markets using adaptive learning. (English)
Mehrotra, Kishan G. (ed.) et al., Modern approaches in applied intelligence. 24th international conference on industrial engineering and other applications of applied intelligent systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 ‒ July 1, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-21826-2/pbk). Lecture Notes in Computer Science 6704. Lecture Notes in Artificial Intelligence, 490-500 (2011).
7
Predicting NN5 time series with neurosolver. (English)
Madani, Kurosh (ed.) et al., Computational intelligence. Revised and selected papers of the 1st international joint conference IJCCI 2009 held in Funchal, Madeira, Portugal, October 5‒7, 2009. Berlin: Springer (ISBN 978-3-642-20205-6/hbk; 978-3-642-20206-3/ebook). Studies in Computational Intelligence 343, 277-288 (2011).
8
Mixed-collaborative distribution mode for emergency resources in an anti-bioterrorism system. (English)
Int. J. Math. Oper. Res. 3, No. 2, 148-169 (2011).
9
Information modelling and knowledge bases XXII (EJC 2010). Papers based on the presentations at the European Japanese conference, Tallinn, Estonia, June 6‒10, 2011. (English)
Frontiers in Artificial Intelligence and Applications 225. Amsterdam: IOS Press (ISBN 978-1-60750-689-8/hbk; 978-1-60750-690-4/ebook). x, 449~p. EUR~145.00; \$~210.00 (2011).
10
A hybrid neural genetic method for load forecasting based on phase space reconstruction. (English)
Kybernetes 39, No. 8, 1291-1297 (2010).
11
Load forecasting using wavelet fuzzy neural network. (English)
Int. J. Knowl.-Based Intell. Eng. Syst. 14, No. 2, 57-71 (2010).
12
Hybrid functional Petri nets as MP systems. (English)
Nat. Comput. 9, No. 1, 61-81 (2010).
13
A type-2 fuzzy rule-based expert system model for stock price analysis. (English)
Expert Syst. Appl. 36, No. 1, 139-154 (2009).
14
Improved grey-Markov chain algorithm for forecasting. (English)
Kybernetes 38, No. 3-4, 329-338 (2009).
15
A short-term load forecasting method based on RBF neural network and fuzzy reasoning. (English)
Cao, Bingyuan (ed.) et al., Fuzzy information and engineering. Vol. 2. Proceedings of the third international conference on fuzzy information and engineering (ICFIE 2009), Chongqing, China, September 26‒29, 2009. Berlin: Springer (ISBN 978-3-642-03663-7/pbk; 978-3-642-03664-4/ebook). Advances in Intelligent and Soft Computing 62, 1131-1139 (2009).
16
A UML-based quantitative framework for early prediction of resource usage and load in distributed real-time systems. (English)
Softw. Syst. Model. 8, No. 2, 275-302 (2009).
17
Hybrid systems for river flood forecasting using MLP, SOM and fuzzy systems. (English)
Alippi, Cesare (ed.) et al., Artificial neural networks ‒ ICANN 2009. 19th international conference, Limassol, Cyprus, September 14‒17, 2009. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-04273-7/pbk). Lecture Notes in Computer Science 5768, 557-566 (2009).
18
Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise. (English)
Ann. Stat. 37, No. 2, 841-875 (2009).
19
Causal relevance to improve the prediction accuracy of dynamical systems using inductive reasoning. (English)
Int. J. Gen. Syst. 38, No. 3, 331-358 (2009).
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Result 1 to 20 of 63 total
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