Add to ORKGCellular Neural Networks are characterized by simplicity of operation. The network consists of a large number of nonlinear processing units; called cells; that are equally spread in the space. Each cell has a simple function (sequence of multiply-add followed by a single discrimination) that takes an element of a topographic map and then interacts with all cells within a specified sphere of interest through direct connections. Due to their intrinsic parallel computing power, CNNs have attracted the attention of a wide variety of scientists in, e.g., the fields of image and video processing, robotics and higher brain functions. Simplicity of operation together with the local connectivity gives CNNs first-hand advantages for tiled VLSI implem...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additiona...
In this paper a high performance VLSI implementation of a 3×3 Digitally Programmable Cellular Neura...
Cellular Neural Networks are characterized by simplicity of operation. The network consists of a lar...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
The work carried out is oriented to extend classical topologies of Cellular Neural Networks (CNN) to...
This project proposes an hardware implementation of a CNN (Cellular Neural Network), a type of neura...
The successful development of cellular neural networks is dependent on hardware implementation. This...
The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for t...
Hardware implementation of programmable neural networks requires multiplications of input analogue v...
Integrated Processors (IP) are meant to supply algorithm-specific cores to a micro-electronic system...
In 1988, Cellular Neural Networks (CNN) [1] were intro-duced. CNN has the local connectivity propert...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additiona...
In this paper a high performance VLSI implementation of a 3×3 Digitally Programmable Cellular Neura...
Cellular Neural Networks are characterized by simplicity of operation. The network consists of a lar...
Cellular Neural Networks (CNN's) represent a remarkable improvement in hardware implementation of Ar...
The work carried out is oriented to extend classical topologies of Cellular Neural Networks (CNN) to...
This project proposes an hardware implementation of a CNN (Cellular Neural Network), a type of neura...
The successful development of cellular neural networks is dependent on hardware implementation. This...
The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for t...
Hardware implementation of programmable neural networks requires multiplications of input analogue v...
Integrated Processors (IP) are meant to supply algorithm-specific cores to a micro-electronic system...
In 1988, Cellular Neural Networks (CNN) [1] were intro-duced. CNN has the local connectivity propert...
Cellular Neural Networks (CNNs) are massively parallel nonlinear locally connected analog cells; the...
This paper deals with hardware implementation of Digital CNN network in FPGA. We have implemented us...
This paper describes the design of a programmable Cellular Neural Network (CNN) chip, with additiona...
In this paper a high performance VLSI implementation of a 3×3 Digitally Programmable Cellular Neura...