Title :
A VLSI Hamming artificial neural network with k-winner-take-all and k-loser-take-all capability
Author :
Badel, Stéphane ; Schmid, Alexandre ; Leblebici, Yusuf
Author_Institution :
Microelectron. Syst. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
A novel circuit-level Hamming artificial neural network architecture based on the principle of analog charge-based computation of the neural function is proposed. k-winner-take-all and k-loser-take-all operations are performed in the time-domain, allowing for fast and compact realization of complex functions. The VLSI realization of a two-dimensional array arrangement of the Hamming network is presented, with the targeted processing applications.
Keywords :
VLSI; feedforward neural nets; image processing; neural chips; neural net architecture; Hamming artificial neural network; VLSI realization; analog charge-based computation; complex functions realization; k-loser-take-all capability; k-winner-take-all capability; Artificial neural networks; Circuits; Computer architecture; Computer networks; Feedforward systems; Hamming distance; Image processing; Time domain analysis; Very large scale integration; Voltage;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223823
