Hybrid learning in a multi-neural network architecture



INNS-IEEE International Joint Conference on Neural Networks (IJCNN'01), July 2001


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Year 2015 : 1 citations

 K.Karthikeyan, Sayantani Basu. Neural Network Technique in Data Mining for Prediction of Earth Quake. International Journal Of Pharmacy & Technology. Vol. 7, Issue 3, pp. 9543-9554 (2015)

Year 2013 : 3 citations

 E. E. Supeni, J. A. Epaarachchi, M. M. Islam, and K. T. Lau. Development of artificial neural network model in predicting performance of the smart wind turbine blade. In 3rd Malaysian Postgraduate Conference (MPC2013), 2013.

 G. C. Kahandawa, J. A. Epaarachchi, H. Wang, D. Followell, and P. Birt. Use of fixed wavelength fibre-bragg grating (FBG) filters to capture time domain data from the distorted spectrum of an embedded FBG sensor to estimate strain with an artificial neural network. Sensors and Actuators A: Physical, 194:1–7, 2013.

 Kahandawa, G. C., Epaarachchi, J. A., Wang, H., & Lau, K. T. (2013, June). Prediction of obsolete FBG sensor using ANN for efficient and robust operation of SHM systems. In Key Engineering Materials (Vol. 558, pp. 546-553). Trans Tech Publications.

Year 2012 : 4 citations

 Ole-Christoffer Granmo. Short-term forecasting of electricity consumption using Gaussian processes. Master’s thesis, University of Agder, 2012.

 Kahandawa, G. C. (2012). Monitoring damage in advanced composite structures using embedded fibre optic sensors (Doctoral dissertation, University of Southern Queensland).

 Yi Wu Zheng and Behandish Morad. Real-time pump scheduling using genetic algorithm and artificial neural network based on graphics processing unit. In 14th Water Distribution Systems Analysis Conference (WDSA 2012), 2012.

 Yi Wu Zheng and Behandish Morad. Comparing methods of parallel genetic optimization for pump scheduling using hydraulic model and GPU-based ANN metamodel. In 14th Water Distribution Systems Analysis Conference (WDSA 2012), 2012.

Year 2011 : 2 citations

 Kritsanatt Boonkiatpong and Sukree Sinthupinyo, Applying Multiple Neural Networks on Large Scale Data, 2011 International Conference on Information and Electronics Engineering, vol.6, pp. 189-193, 2011.

 Laurentiu Bucur, Sparse Kernel Machines and High Performance Computing, PhD thesis, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, 2011.

Year 2010 : 1 citations

 Xinliang Yu, "Prediction of Q-e Parameters of Monomers in Free-radical Copolymerizations", ACTA CHIMICA SINICA,vol. 68, no. 22, pp 2264-2272, 2010