Design environment for hardware generation of SLFF neural network topologies with ELM training capability
暂无分享,去创建一个
Marek Wegrzyn | José V. Francés | Manuel Bataller-Mompeán | Juan Guerrero-Martínez | Alfredo Rosado Muñoz | José M. Martínez-Villena | Marian Adamski | M. Bataller-Mompeán | J. V. Francés | A. R. Muñoz | M. Adamski | J. Guerrero-Martinez | M. Węgrzyn
[1] Jin Zhang,et al. Image correlation analysis for biometric identification , 2011, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.
[2] Rui Zhang,et al. Real-time transient stability assessment model using extreme learning machine , 2011 .
[3] Dianhui Wang,et al. Extreme learning machines: a survey , 2011, Int. J. Mach. Learn. Cybern..
[4] Kit Po Wong,et al. Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping , 2012, IEEE Transactions on Power Systems.
[5] Yanwei Huang,et al. Nonlinear internal model control with inverse model based on extreme learning machine , 2011, 2011 International Conference on Electric Information and Control Engineering.
[6] Jaime S. Cardoso,et al. A new linear parametrization for peak friction coefficient estimation in real time , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.
[7] K. S. Banerjee. Generalized Inverse of Matrices and Its Applications , 1973 .
[8] Emilio Soria-Olivas,et al. Hardware implementation methods in Random Vector Functional-Link Networks , 2013, Applied Intelligence.
[9] Waleed H. Abdulla,et al. Hardware–Software Codesign of Automatic Speech Recognition System for Embedded Real-Time Applications , 2011, IEEE Transactions on Industrial Electronics.
[10] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[11] Alan Pak Tao Lau,et al. Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems , 2011, 16th Opto-Electronics and Communications Conference.
[12] Alan J. Mayne,et al. Generalized Inverse of Matrices and its Applications , 1972 .
[13] Luis Gómez-Chova,et al. An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices , 2008, J. Univers. Comput. Sci..
[14] Guang-Bin Huang,et al. An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels , 2014, Cognitive Computation.
[15] Q. M. Jonathan Wu,et al. A fast recognition framework based on extreme learning machine using hybrid object information , 2010, Neurocomputing.
[16] Heng Liu,et al. The detection of solder joint defect and solar panel orientation based on ELM and robust least square fitting , 2011, 2011 Chinese Control and Decision Conference (CCDC).
[17] Pietro Lio,et al. Epileptic EEG Detection via a Novel Pattern Recognition Framework , 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.
[18] Bo Meng,et al. Day-ahead electricity price prediction based on multiple ELM , 2010, 2010 Chinese Control and Decision Conference.
[19] Feilong Cao,et al. A study on effectiveness of extreme learning machine , 2011, Neurocomputing.
[20] Eric Monmasson,et al. Hardware/Software Codesign Guidelines for System on Chip FPGA-Based Sensorless AC Drive Applications , 2013, IEEE Transactions on Industrial Informatics.
[21] Piedad Brox Jiménez,et al. CAD Tools for Hardware Implementation of Embedded Fuzzy Systems on FPGAs , 2013, IEEE Transactions on Industrial Informatics.