This paper describes a technique to realize a novel digital multiplier using Artificial Neural Network (ANN). It proposes a generalized `Energy Function' for multiplier and its hardware realization by combining conventional digital hardware with a neural network. The design of neurons, extended range active loads and the digital multiplier are described in this paper along with the simulation results .© IEE
With the emergence of VLSI Technology in electronic industry, the numerous applications of integrate...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
A VLSI feedforward neural network is presented that makes use of digital weights and analog multipli...
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 ...
<div>With the advent of new technologies and advancement in medical science we are trying to process...
In the span of last twenty years, a lot of software solutions were proposed to utilize the inherent ...
Abstract:There is various new & advance technologies in medical science we are trying to process...
There are several neural network implementations using either software, hardware-based or a hardware...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
There are several possible hardware implementations of neural networks based either on digital, anal...
Any digital circuit is made with fundamental building blocks i.e. logic gates. Artificial neural net...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
This thesis presents a digital hardware implementation of an artificial neuron with learning ability...
The last decade has witnessed the revival and a new surge in the field of artificial neural network ...
With the emergence of VLSI Technology in electronic industry, the numerous applications of integrate...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
A VLSI feedforward neural network is presented that makes use of digital weights and analog multipli...
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 ...
<div>With the advent of new technologies and advancement in medical science we are trying to process...
In the span of last twenty years, a lot of software solutions were proposed to utilize the inherent ...
Abstract:There is various new & advance technologies in medical science we are trying to process...
There are several neural network implementations using either software, hardware-based or a hardware...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
There are several possible hardware implementations of neural networks based either on digital, anal...
Any digital circuit is made with fundamental building blocks i.e. logic gates. Artificial neural net...
A neural network is designed using a multiple-input transconductance amplifier (MITA) and digital mu...
This thesis presents a digital hardware implementation of an artificial neuron with learning ability...
The last decade has witnessed the revival and a new surge in the field of artificial neural network ...
With the emergence of VLSI Technology in electronic industry, the numerous applications of integrate...
Rückert U, Kleerbaum C, Goser K. Digital VLSI Implementation of an Associative Memory Based on Neura...
A VLSI feedforward neural network is presented that makes use of digital weights and analog multipli...