On-Line Learning in an Embedded Maximum Sensibility Neural Network
作者： Gustavo Gonzalez Sanmiguel , Luis Lauro Gonzalez , Luis M. Torres-Trevino , Cesar Guerra
关键词:
摘要: A maximum sensibility neural networks was implemented in an embedded system to make on-line learning. This network has advantages like easy implementation and a quick learning based on manage information place of gradient algorithm. The used learn non linear functions using potentiometers push button giving the function activation results give us platform apply networks.
sci-hub.se 参考文章(8)
Indira Escamilla, Luis Torres, Pedro Perez, Patricia Zambrano, A Comparison between Back Propagation and the Maximum Sensibility Neural Network to Surface Roughness Prediction in Machining of Titanium (Ti 6Al 4V) Alloy mexican international conference on artificial intelligence. pp. 1009- 1019 ,(2008) , 10.1007/978-3-540-88636-5_95
Takéhiko Nakama, Theoretical analysis of batch and on-line training for gradient descent learning in neural networks Neurocomputing. ,vol. 73, pp. 151- 159 ,(2009) , 10.1016/J.NEUCOM.2009.05.017
L.M. Torres-Trevino, L.Y.Z. Gomez, J. Acevedo-Davila, Tezontle aggregate substitute optimization in building blocks mixture. electronics robotics and automotive mechanics conference. pp. 307- 311 ,(2007) , 10.1109/CERMA.2007.132
L. Torres-Trevino, A. Cheang-Martinez, F.A. Reyes Valdes, J. Acevedo-Davila, A. Saldivar-Garcia, Corrosion prediction and annual maintenance improvement of concrete structural components using neural networks electronics robotics and automotive mechanics conference. pp. 202- 206 ,(2007) , 10.1109/CERMA.2007.41
Luis Torres-Treviño, Arturo Reyes-Valdes, Conceptual Design of Carbon Steels to Support Heavy Crude Refinement Using Neural Network Modeling and Evolutionary Optimization electronics robotics and automotive mechanics conference. pp. 439- 442 ,(2008) , 10.1109/CERMA.2008.33
I Escamilla, P Perez, L Torres, P Zambrano, B Gonzalez, None, Optimization Using Neural Network Modeling and Swarm Intelligence in the Machining of Titanium (Ti 6Al 4V) Alloy mexican international conference on artificial intelligence. pp. 33- 38 ,(2009) , 10.1109/MICAI.2009.22
Weiguo Zhao, Liying Wang, Chengjun Hu, Jianmin Hou, Cascade-Correlation Neural Network for Sensor Fault Detection and Data Recovery with On-line Learning Sensor Letters. ,vol. 9, pp. 2034- 2037 ,(2011) , 10.1166/SL.2011.1545
J. Acevedo-Davila, L.M. Torres-Trevino, Lauren Y. Gomez Z., Tezontle aggregate substitute optimization in building blocks mixture. electronics robotics and automotive mechanics conference. pp. 307- 311 ,(2007) , 10.1109/CERMA.2007.4367704