Dr. Derrick Takeshi Mirikitani PhD

Department of Computing
Goldsmiths College
University of London

Doctoral Research

• Derrick Takeshi Mirikitani, Nikolay Nikolaev: Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks. Neural Computing & Applications 20(1): 79-89 (2011)

• Derrick Takeshi Mirikitani, Nikolay Nikolaev: Recursive Bayesian recurrent neural networks for time-series modeling. IEEE Transactions on Neural Networks 21(2): 262-274 (2010)

• Derrick Takeshi Mirikitani, Nikolay Nikolaev: Efficient online recurrent connectionist learning with the ensemble Kalman filter. Neurocomputing 73(4-6): 1024-1030 (2010)

• Nikolay Nikolaev, Derrick Takeshi Mirikitani, Evgueni Smirnov, Unscented grid filtering and elman recurrent networks. IJCNN 2010: 1-7

• Derrick Takeshi Mirikitani, Lahcen Ouarbya: Modeling Dst with Recurrent EM Neural Networks. ICANN (1) 2009: 975-984

• Lahcen Ouarbya, Derrick Takeshi Mirikitani: Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks. ICONIP (1) 2009: 91-99

• Derrick Takeshi Mirikitani, Nikolay Nikolaev: Recurrent Expectation Maximization Neural Modeling. CIMCA/IAWTIC/ISE 2008: 674-679

• Derrick Takeshi Mirikitani, Nikolay Nikolaev: Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks. ICMLA 2008: 843-848

• Derrick Takeshi Mirikitani, Incheon Park, Mohammed Daoudi: Dynamic Reconstruction from Noise Contaminated Data with Sparse Bayesian Recurrent Neural Networks. Asia International Conference on Modelling and Simulation 2007: 409-414

• Incheon Park, Derrick Takeshi Mirikitani: Energy Reduction in Wireless Sensor Networks through Measurement Estimation with Second Order Recurrent Neural Networks. ICNS 2007: 103

• Incheon Park, Derrick Takeshi Mirikitani, Mohammed Daoudi: Energy Reduction Through Nonlinear Forecasting of Sensor Measurements inWireless: Sensor Networks with Bayesian Recurrent Neural Filters. ICWN 2007: 97-103

• Derrick Takeshi Mirikitani, Nikolay Nikolaev: Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. IJCNN 2007: 282-287

• Derrick Takeshi Mirikitani, Ibrahim Kushchu E.Coli Search: Self Replicating Agents for Web Based Information Retrieval.IDEAL 2003: 622-629

Last Modified Wednesday 02, February 2011 11:42:27 GMT D.T.Mirikitani@gold.ac.uk