Title :
Artificial Brains - A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building
Author :
De Garis, Hugo ; Yu, Tang Jian ; Di, Huang
Author_Institution :
Wuhan Univ., Wuhan
Abstract :
This paper shows how a "Celoxica" electronic accelerator board (containing a Xilinx Virtex II FPGA chip) can be used to speed up, by a factor of about 50 times, the evolution of neural network modules, so that building artificial brains that consist of 10,000 s of interconnected modules can be made practical. We hope that this work will prove to be an important stepping stone towards making the new field of brain building both practical and cheap enough for many research groups to start building their own artificial brains.
Keywords :
artificial organs; evolutionary computation; field programmable gate arrays; medical computing; neural chips; Celoxica electronic accelerator board; Xilinx Virtex II FPGA chip; artificial brain building; neural network module evolution; Acceleration; Artificial neural networks; Biological neural networks; Electron accelerators; Field programmable gate arrays; Genetic algorithms; Hardware; Humans; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371409
