Title :
A Reconfigurable Satlin/Sigmoid/Gaussian/Triangular Basis Functions Computation Circuit
Author :
Abuelma´ati, Muhammad Taher ; Shwehneh, Abdullah
Author_Institution :
King Fahd Univ. of Pet. & Minerals, Dhahran
Abstract :
A CMOS Satlin/Sigmoid/Gaussian/triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the four functions. The circuit can approximate these functions with relative root-mean-square error less than 1%. It is shown that the center, width, and peak amplitude of the dc transfer characteristic can be independently controlled. HSPICE simulation results using 0.18 mum CMOS process model parameters of TSMC technology are included
Keywords :
CMOS digital integrated circuits; Gaussian processes; neural chips; radial basis function networks; reconfigurable architectures; 0.18 micron; CMOS computation circuit; CMOS process; Gaussian basis function; HSPICE simulation; Satlin basis function; Sigmoid basis function; TSMC technology; analog neural networks; computation circuit suitable; dc transfer characteristic; reconfigurable computation circuit; triangular basis functions; Analog computers; Artificial neural networks; CMOS analog integrated circuits; CMOS process; Circuit simulation; Computer networks; MOSFETs; Neural networks; Neurons; Very large scale integration; CMOS circuits; analog neural networks; computational circuits;
Conference_Titel :
Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0387-1
DOI :
10.1109/APCCAS.2006.342350
