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ORCIDDerrick Takeshi Mirikitani
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2010 – 2019
- 2012
[j4]Lahcen Ouarbya, Derrick Takeshi Mirikitani, Eamonn Martin:
The use of sequential recurrent neural filters in forecasting the Dst index for the strong magnetic storm of autumn 2003. Appl. Math. Lett. 25(10): 1361-1366 (2012)- 2011
- [j3]Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks. Neural Comput. Appl. 20(1): 79-89 (2011) - [c11]Derrick Takeshi Mirikitani, Lisa Tsui, Lahcen Ouarbya:
Evolving Recurrent Neural Models of Geomagnetic Storms. IDEAL 2011: 244-251 - 2010
- [b1]Derrick Takeshi Mirikitani:
Sequential recurrent connectionist algorithms for time series modeling of nonlinear dynamical systems. Goldsmiths College, London, UK, 2010 - [j2]Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Efficient online recurrent connectionist learning with the ensemble Kalman filter. Neurocomputing 73(4-6): 1024-1030 (2010) - [j1]Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Recursive Bayesian recurrent neural networks for time-series modeling. IEEE Trans. Neural Networks 21(2): 262-274 (2010) - [c10]Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov:
Unscented grid filtering and elman recurrent networks. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c9]Derrick Takeshi Mirikitani, Lahcen Ouarbya:
Modeling Dst with Recurrent EM Neural Networks. ICANN (1) 2009: 975-984 - [c8]Lahcen Ouarbya, Derrick Takeshi Mirikitani:
Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks. ICONIP (1) 2009: 91-99 - 2008
- [c7]Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Recurrent Expectation Maximization Neural Modeling. CIMCA/IAWTIC/ISE 2008: 674-679 - [c6]Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks. ICMLA 2008: 843-848 - 2007
- [c5]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 - [c4]Incheon Park, Derrick Takeshi Mirikitani:
Energy Reduction in Wireless Sensor Networks through Measurement Estimation with Second Order Recurrent Neural Networks. ICNS 2007: 103 - [c3]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 - [c2]Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. IJCNN 2007: 282-287 - 2003
- [c1]Derrick Takeshi Mirikitani, Ibrahim Kushchu:
E.Coli Search: Self Replicating Agents for Web Based Information Retrieval. IDEAL 2003: 622-629
Coauthor Index
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