Result 1 to 20 of 310 total
Agent-based modeling under partial and full knowledge learning settings to simulate financial markets. (English)
AI Commun. 25, No. 4, 295-304 (2012).
1
Fast learning and predicting of stock returns with virtual generalized random access memory weightless neural networks. (English)
Concurrency Comput. Pract. Exp. 24, No. 8, 921-933 (2012).
2
Predicting online auction final prices using time series splitting and clustering. (English)
Sheng, Quan Z. (ed.) et al., Web technologies and applications. 14th Asia-Pacific web conference, APWeb 2012, Kunming, China, April 11‒13, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-29252-1/pbk). Lecture Notes in Computer Science 7235, 207-218 (2012).
3
A predictive evolutionary algorithm for dynamic constrained inverse kinematics problems. (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, 610-621 (2012).
4
Semi-parametric smoothing regression model based on GA for financial time series forecasting. (English)
Pan, Jeng-Shyang (ed.) et al., Intelligent information and database systems. 4th Asian conference, ACIIDS 2012, Kaohsiung, Taiwan, March 19‒21, 2012. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-28492-2/pbk). Lecture Notes in Computer Science 7198. Lecture Notes in Artificial Intelligence, 55-64 (2012).
5
Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network. (English)
Neurocomputing 97, 131-140 (2012).
6
Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction. (English)
Neurocomputing 86, 116-123 (2012).
7
Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model. (English)
Neurocomputing 86, 59-74 (2012).
8
Short time series of website visits prediction by RBF neural networks and support vector machine regression. (English)
Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing. 11th international conference, ICAISC 2012, Zakopane, Poland, April 29‒May 3, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-29346-7/pbk). Lecture Notes in Computer Science 7267. Lecture Notes in Artificial Intelligence, 135-142 (2012).
9
Learning predictive models for financial time series by using agent based simulations. (English)
Nguyen, Ngoc Thanh (ed.), Transactions on Computational Collective Intelligence VI. Berlin: Springer (ISBN 978-3-642-29355-9/pbk). Lecture Notes in Computer Science 7190. Journal Subline, 202-221 (2012).
10
A comparative study of a financial agent based simulator across learning scenarios. (English)
Cao, Longbing (ed.) et al., Agents and data mining interaction. 7th international workshop on agents and data mining interation, ADMI 2011, Taipei, Taiwan, May 2‒6, 2011. Revised selected papers. Berlin: Springer (ISBN 978-3-642-27608-8/pbk). Lecture Notes in Computer Science 7103. Lecture Notes in Artificial Intelligence, 86-97 (2012).
11
Extended and unscented Kalman filtering based feedforward neural networks for time series prediction. (English)
Appl. Math. Modelling 36, No. 3, 1123-1131 (2012).
12
Prediction for noisy nonlinear time series by echo state network based on dual estimation. (English)
Neurocomputing 82, 186-195 (2012).
13
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction. (English)
Neurocomputing 81, 1-11 (2012).
14
Mining good sliding window for positive pathogens prediction in pathogenic spectrum analysis. (English)
Tang, Jie (ed.) et al., Advanced data mining and applications. 7th international conference, ADMA 2011, Beijing, China, December 17‒19, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-25855-8/pbk). Lecture Notes in Computer Science 7121. Lecture Notes in Artificial Intelligence, 152-165 (2011).
15
Nonlinear time series modeling and prediction using local variable weights RBF network. (English)
Panigrahi, Bijaya Ketan (ed.) et al., Swarm, evolutionary, and memetic computing. Second international conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19‒21, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-27171-7/pbk). Lecture Notes in Computer Science 7076, 389-398 (2011).
16
Optimal cyclic service of the centralized broadband wireless networks with k-limited discipline. (English)
Simul. Model. Pract. Theory 19, No. 1, 382-392 (2011).
17
SOM time series clustering and prediction with recurrent neural networks. (English)
Neurocomputing 74, No. 11, 1936-1944 (2011).
18
Improved time series prediction and symbolic regression with affine arithmetic. (English)
Riolo, Rick (ed.) et al., Genetic programming theory and practice IX. Selected papers based on the presentations at the 9th workshop, Ann Arbor, MI, USA, May 12‒14, 2011. Foreword by Una-Maay O’Reilly. New York, NY: Springer (ISBN 978-1-4614-1769-9/hbk; 978-1-4614-1770-5/ebook). Genetic and Evolutionary Computation, 97-112 (2011).
19
Adaptive bearings vibration modelling for diagnosis. (English)
Bouchachia, Abdelhamid (ed.), Adaptive and intelligent systems. Second international conference, ICAIS 2011, Klagenfurt, Austria, September 6‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23856-7/pbk). Lecture Notes in Computer Science 6943. Lecture Notes in Artificial Intelligence, 248-259 (2011).
20
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