Details

Autor(en) / Beteiligte

• Salam, F.M.A.
• Erten, G.

Titel

An adaptive neuro/fuzzy CMOS chip

Ist Teil von

• 1995 IEEE International Symposium on Circuits and Systems (ISCAS), 1995, Vol.3, p.2329 vol.3

Ort / Verlag

IEEE

Erscheinungsjahr

1995

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Summary form only given. A modular chip, Tinychip in 2 micron CMOS process, contains a fuzzy-neuro system that is comprised of the usual fuzzification, inference, and defuzzification blocks. The circuit building blocks consist of single-transistors, differential pairs, transconductance multipliers, and bump circuits. The fuzzification and the defuzzification blocks each uses single-layer neural mapping with nonlinear synapses composed of multipliers and differential pairs. The inference block is realized by a two-layer feedforward network using nonlinear synapses and learning circuitries based on the modified, continuous-time back-propagation and optimal control techniques. The fuzzy-neuro chip can be embedded within a control processing loop and work to preserve the control system's overall stability and performance.