Add to ORKGA versatile integrated circuit based on the Hamming artificial neural network (ANN) architecture is presented. The circuit operation relies on capacitive processing of sum-of-products terms, complemented with digital post-processing allowing various complex functions to be processed on chip, with a minimal hardware overhead. VLSI realization and measurements are discussed. 1
With the emergence of VLSI Technology in electronic industry, the numerous applications of integrate...
We propose an analog Neural Network ASIC where computations are implemented in 0.35-µm CMOS technolo...
A board is described that contains the ANN A neural-network chip, and a DSP32C digital signal proces...
This paper addresses the mixed analog-digital hardware implementation of a Hamming artificial neural...
In this paper we present an analog VLSI architecture that implements a neural network for image proc...
In this paper a real-time mixed analog-digital VLSI implementation of a Shunting Inhibition Cellular...
Biological systems process the analog signals such as image and sound efficiently. To process the in...
Artificial intelligence is integral part of a neural network is based on mathematical equations and ...
<div>With the advent of new technologies and advancement in medical science we are trying to process...
A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
Abstract:There is various new & advance technologies in medical science we are trying to process...
There are several possible hardware implementations of neural networks based either on digital, anal...
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
With the emergence of VLSI Technology in electronic industry, the numerous applications of integrate...
We propose an analog Neural Network ASIC where computations are implemented in 0.35-µm CMOS technolo...
A board is described that contains the ANN A neural-network chip, and a DSP32C digital signal proces...
This paper addresses the mixed analog-digital hardware implementation of a Hamming artificial neural...
In this paper we present an analog VLSI architecture that implements a neural network for image proc...
In this paper a real-time mixed analog-digital VLSI implementation of a Shunting Inhibition Cellular...
Biological systems process the analog signals such as image and sound efficiently. To process the in...
Artificial intelligence is integral part of a neural network is based on mathematical equations and ...
<div>With the advent of new technologies and advancement in medical science we are trying to process...
A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
Abstract:There is various new & advance technologies in medical science we are trying to process...
There are several possible hardware implementations of neural networks based either on digital, anal...
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Nature has evolved highly advanced systems capable of performing complex computations, adoption and ...
With the emergence of VLSI Technology in electronic industry, the numerous applications of integrate...
We propose an analog Neural Network ASIC where computations are implemented in 0.35-µm CMOS technolo...
A board is described that contains the ANN A neural-network chip, and a DSP32C digital signal proces...