This paper presents a mixed analog/digital circuit design and simulation for an architecture called the augmented adaptive resonance theory-1 neural network (AART1-NN). The circuit is implemented based on the transconductance-mode approach and mixed analog/digital components, in which analog circuits are used to fully incorporate the parallel mechanism of the neural network, whereas digital circuits are used to provide a reduced circuit size as well as more precise multiplication operation. The AART1-NN circuit implemented is simulated using Pspice, and the results are in good agreement with those calculated numerically from the coupled nonlinear differential equations governing the AART1-NN
This paper presents VHDL-AMS models and simulation results for a complex, self-organizing neural sys...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
This paper presents a mixed analog/digital circuit design and simulation for an architecture called ...
This paper presents an analog circuit implementation for an adaptive resonance theory neural network...
An analogue circuit implementation is presented for an adaptive resonance theory neural network arch...
An analogue circuit implementation is presented for an adaptive resonance theory neural network arch...
A digital VLSI circuit design for an adaptive resonance theory (ART) neural network architecture, ca...
This paper presents a VLSI circuit implementation for both the short-term memory (STM) and long-term...
A digital VLSI circuit design for an adaptive resonance theory (ART) neural network architecture, ca...
This paper outlines the design and simulation of an analogue integrated circuit for the adaptive res...
This work addresses neural and analog computation on reconfigurable mixed-signal platforms. Many eng...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
In recent years, parallel computers have been attracting attention for simulating artificial neural ...
This paper presents VHDL-AMS models and simulation results for a complex, self-organizing neural sys...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
This paper presents a mixed analog/digital circuit design and simulation for an architecture called ...
This paper presents an analog circuit implementation for an adaptive resonance theory neural network...
An analogue circuit implementation is presented for an adaptive resonance theory neural network arch...
An analogue circuit implementation is presented for an adaptive resonance theory neural network arch...
A digital VLSI circuit design for an adaptive resonance theory (ART) neural network architecture, ca...
This paper presents a VLSI circuit implementation for both the short-term memory (STM) and long-term...
A digital VLSI circuit design for an adaptive resonance theory (ART) neural network architecture, ca...
This paper outlines the design and simulation of an analogue integrated circuit for the adaptive res...
This work addresses neural and analog computation on reconfigurable mixed-signal platforms. Many eng...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
In recent years, parallel computers have been attracting attention for simulating artificial neural ...
This paper presents VHDL-AMS models and simulation results for a complex, self-organizing neural sys...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...