Title :
Mixed-signal VLSI for neural and fuzzy sequential processors
Author :
Madrenas, J. ; Alarcón, E. ; Cosp, J. ; Moreno, J.M. ; Poveda, A. ; Cabestany, J.
Author_Institution :
Dept. of Electron. Eng., Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
A sequentiality study for mixed-signal VLSI implementations of neuro/fuzzy feedforward algorithms is presented. Implications of sequential processing and mixed-signal operation are derived. Basic building blocks for sequential mixed-signal neural and fuzzy computing are proposed, and two example sequential processors are described. Feedback from designed processors and subcircuits allows consideration of the technology constraints for analysis and extension to different sequentiality degrees
Keywords :
CMOS integrated circuits; VLSI; feedforward neural nets; fuzzy logic; mixed analogue-digital integrated circuits; neural chips; fuzzy feedforward algorithms; fuzzy sequential processors; mixed-signal VLSI implementations; mixed-signal operation; neural feedforward algorithms; neural sequential processors; sequential processing; sequentiality analysis; technology constraints; Analog circuits; Circuit noise; Fuzzy control; Fuzzy neural networks; Neural network hardware; Neural networks; Neurofeedback; Process design; Temperature sensors; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.857448
