Title :
Implementation of an analog self-learning neural network
Author :
Lu, Chun ; Shi, Bing-Xue ; Chen, Lu
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Abstract :
An analog self-learning neural network is proposed. A prototype chip has been fabricated using a 1.2-um CMOS, double-polysilicon, double-metal technology. Because of its fully analog and fully parallel structure, the proposed LSI can do continuous time calculation. The result of the XOR experiment shows that the circuit achieves the self-learning
Keywords :
CMOS analogue integrated circuits; large scale integration; neural chips; 1.2 micron; CMOS chip; LSI; XOR experiment; analog self-learning neural network; continuous time calculation; double-polysilicon double-metal technology; parallel structure; CMOS process; CMOS technology; Circuits; Large scale integration; Microelectronics; Network-on-a-chip; Neural networks; Neurons; Prototypes; Transfer functions;
Conference_Titel :
ASIC, 2001. Proceedings. 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-6677-8
DOI :
10.1109/ICASIC.2001.982548
