Title :
Pattern recognition and system control with a neural processor
Author :
Donald, James ; Akers, Lex A.
Author_Institution :
Center for Solid State Electron. Res., Arizona State Univ., Tempe, AZ, USA
fDate :
30 May-2 Jun 1994
Abstract :
We describe a neurally inspired processor with on-chip learning. The processor is capable of providing real-time detection of principle features in complex waveforms and system control. Experimental results of pattern recognition and adaptive control using this chip confirm an array of the processing elements can extract important information from the input and produce reduced dimensional representations of the inputs for efficient categorization and control
Keywords :
VLSI; adaptive control; feature extraction; neural chips; neurocontrollers; pattern recognition equipment; unsupervised learning; VLSI; adaptive control; complex waveforms; neural processor; on-chip learning; pattern recognition; principle feature detection; processing element array; real-time detection; reduced dimensional representations; unsupervised learning; Adaptive arrays; Adaptive control; Capacitors; Circuits; Control systems; Neurons; Pattern recognition; Switches; Threshold voltage; Unsupervised learning;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409575
