Title :
Frequency-based multilayer neural network with on-chip learning
Author_Institution :
Dept. of Comput. Sci. & Intelligent Syst., Oita Univ., Japan
Abstract :
In this paper, frequency-based digital architecture of Multilayer Neural Network (MNN) with on-chip learning is proposed. In the frequency-based neural networks, pulse-streams are used for representation of the neuronal signals so that the proposed MNN can be effectively implemented on hardware. The back-propagation algorithm is modified and employed for the on-chip learning. The learning behavior of the MNN is tested by simulations and the feasibility of the architecture is verified
Keywords :
backpropagation; neural net architecture; neural nets; back-propagation algorithm; frequency-based digital architecture; hardware; multilayer neural network; neuronal signal; on-chip learning; pulse stream; simulation; Computer architecture; Frequency conversion; Frequency synthesizers; Multi-layer neural network; Network-on-a-chip; Neural network hardware; Neural networks; Neurons; Optical pulses; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541635
