Title :
Constructing intelligent microsystems with modular VLSI neural networks design
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fDate :
30 Apr-3 May 1995
Abstract :
VLSI neural networks can speed up the computation and signal processing by many orders of magnitude through compact, low-power parallel processing. Key microsystem design issues are critically addressed for successful industrial and scientific applications
Keywords :
VLSI; neural chips; parallel processing; signal processing; intelligent microsystems; low-power parallel processing; microsystem design issues; modular VLSI neural networks; signal processing; Artificial neural networks; Computer aided instruction; Digital signal processing; Intelligent networks; Neural network hardware; Neural networks; Parallel processing; Pattern recognition; Reduced instruction set computing; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523839
