Add to ORKGThe work carried out is oriented to extend classical topologies of Cellular Neural Networks (CNN) to more general cellular processors, and their implementation, in order to build universal machines able to perform complex tasks and nonlinear dynamic generation. More precisely, State-Controlled CNNs and Fuzzy Cellular Processors are briefly introduced. The first ones are implemented in mixed-signal CMOS technology, while the second ones are basicall
In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit ...
Cellular Neural Networks (CNN) were introduced by Chua and Yang in 1988 [1]. The idea of the CNN was...
In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit ...
Cellular Neural Networks are characterized by simplicity of operation. The network consists of a lar...
This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additiona...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
Integrated Processors (IP) are meant to supply algorithm-specific cores to a micro-electronic system...
Hardware implementation of programmable neural networks requires multiplications of input analogue v...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
The paper investigates the potential for a packet switching network for real-time image processing b...
The successful development of cellular neural networks is dependent on hardware implementation. This...
This project proposes an hardware implementation of a CNN (Cellular Neural Network), a type of neura...
The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for t...
A new Cellular Neural Network model is proposed which allows simpler and faster VLSI implementation ...
In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit ...
Cellular Neural Networks (CNN) were introduced by Chua and Yang in 1988 [1]. The idea of the CNN was...
In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit ...
Cellular Neural Networks are characterized by simplicity of operation. The network consists of a lar...
This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additiona...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
Integrated Processors (IP) are meant to supply algorithm-specific cores to a micro-electronic system...
Hardware implementation of programmable neural networks requires multiplications of input analogue v...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
The paper investigates the potential for a packet switching network for real-time image processing b...
The successful development of cellular neural networks is dependent on hardware implementation. This...
This project proposes an hardware implementation of a CNN (Cellular Neural Network), a type of neura...
The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for t...
A new Cellular Neural Network model is proposed which allows simpler and faster VLSI implementation ...
In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit ...
Cellular Neural Networks (CNN) were introduced by Chua and Yang in 1988 [1]. The idea of the CNN was...
In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit ...