Derrick Takeshi Mirikitani

According to our database, Derrick Takeshi Mirikitani authored at least 16 papers between 2003 and 2012.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2012

The use of sequential recurrent neural filters in forecasting the D_st index for the strong magnetic storm of autumn 2003.

Lahcen Ouarbya, Derrick Takeshi Mirikitani, Eamonn Martin

Appl. Math. Lett., 2012

2011

Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks.

Derrick Takeshi Mirikitani, Nikolay I. Nikolaev

Neural Comput. Appl., 2011

Evolving Recurrent Neural Models of Geomagnetic Storms.

Derrick Takeshi Mirikitani, Lisa Tsui, Lahcen Ouarbya

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010

Sequential recurrent connectionist algorithms for time series modeling of nonlinear dynamical systems.

Derrick Takeshi Mirikitani

PhD thesis, 2010

Recursive Bayesian recurrent neural networks for time-series modeling.

Derrick Takeshi Mirikitani, Nikolay I. Nikolaev

IEEE Trans. Neural Networks, 2010

Efficient online recurrent connectionist learning with the ensemble Kalman filter.

Derrick Takeshi Mirikitani, Nikolay I. Nikolaev

Neurocomputing, 2010

Unscented grid filtering and elman recurrent networks.

Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks.

Lahcen Ouarbya, Derrick Takeshi Mirikitani

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Modeling Dst with Recurrent EM Neural Networks.

Derrick Takeshi Mirikitani, Lahcen Ouarbya

Proceedings of the Artificial Neural Networks, 2009

2008

Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks.

Derrick Takeshi Mirikitani, Nikolay I. Nikolaev

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Recurrent Expectation Maximization Neural Modeling.

Derrick Takeshi Mirikitani, Nikolay I. Nikolaev

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007

Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks.

Derrick Takeshi Mirikitani, Nikolay I. Nikolaev

Proceedings of the International Joint Conference on Neural Networks, 2007

Energy Reduction Through Nonlinear Forecasting of Sensor Measurements inWireless: Sensor Networks with Bayesian Recurrent Neural Filters.

Incheon Park, Derrick Takeshi Mirikitani, Mohammed Daoudi

Proceedings of the 2007 International Conference on Wireless Networks, 2007

Energy Reduction in Wireless Sensor Networks through Measurement Estimation with Second Order Recurrent Neural Networks.

Incheon Park, Derrick Takeshi Mirikitani

Proceedings of the Third International Conference on Networking and Services (ICNS 2007), 2007

Dynamic Reconstruction from Noise Contaminated Data with Sparse Bayesian Recurrent Neural Networks.

Derrick Takeshi Mirikitani, Incheon Park, Mohammed Daoudi

Proceedings of the First Asia International Conference on Modelling and Simulation, 2007

2003

E.Coli Search: Self Replicating Agents for Web Based Information Retrieval.

Derrick Takeshi Mirikitani, Ibrahim Kushchu

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003