Analog VLSI and neural systems
Analog VLSI and neural systems
A resource-allocating network for function interpolation
Neural Computation
Neural Information Processing and VLSI
Neural Information Processing and VLSI
Analysis and Design of Analog Integrated Circuits
Analysis and Design of Analog Integrated Circuits
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
CMOS Circuit Design, Layout, and Simulation, Second Edition
CMOS Circuit Design, Layout, and Simulation, Second Edition
Radial basis function network applied to the linearization of a voltage controlled oscillator
Proceedings of the 20th annual conference on Integrated circuits and systems design
RBF circuits based on folded cascode differential pairs
Proceedings of the 21st annual symposium on Integrated circuits and system design
A new current-mode CMOS analog programmable arbitrary nonlinear function synthesizer
Microelectronics Journal
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A CMOS Gaussian/Triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the two 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. SPICE simulation results using 0.18 驴 m CMOS process model parameters of TSMC18 technology are included.