Add to ORKGA new kind of two-dimensional cellular automata (CA) is studied. Several algorithmic rules are discovered that can be used to design new cellular neural networks (CNN) that can implement character smoothing. The results of computer simulation confirm that this new approach is simpler and more effective than that given in the literature. Furthermore, these results also confirm that our idea is reasonable and presents a novel method to design CNN.EI091074-10781
Wolfram famously developed a four-way classification of CA behaviour, with Class IV containing CAs t...
Deep learning structure is a branch of machine learning science and greet achievement in research an...
Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequ...
In this paper, a new kind of two-dimensional Cellular Automata (CA) is studied. Several algorithmic ...
In this paper we present a character recognition system based on Cellular Neural Networks. As a cons...
Cellular Neural Networks (CNN) have used the concept of cellular automata. The two-layer CNN is cons...
Abstract. The Cellular Neural Networks (CNN) model consist of many parallel analog processors comput...
Traditional Cellular Automata (CA) transition rules are encoded as tables that grow quickly when the...
This paper presents a new cellular automata (CA) model which uses artificial neural networks for bot...
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
An overview is given on the use of cellular automata for image processing. We first consider the num...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
Cellular Neural Networks (CNN) were introduced by Chua and Yang in 1988 [1]. The idea of the CNN was...
An analytical approach is obviously practical only when we want to study nonlinear systems of low co...
Wolfram famously developed a four-way classification of CA behaviour, with Class IV containing CAs t...
Deep learning structure is a branch of machine learning science and greet achievement in research an...
Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequ...
In this paper, a new kind of two-dimensional Cellular Automata (CA) is studied. Several algorithmic ...
In this paper we present a character recognition system based on Cellular Neural Networks. As a cons...
Cellular Neural Networks (CNN) have used the concept of cellular automata. The two-layer CNN is cons...
Abstract. The Cellular Neural Networks (CNN) model consist of many parallel analog processors comput...
Traditional Cellular Automata (CA) transition rules are encoded as tables that grow quickly when the...
This paper presents a new cellular automata (CA) model which uses artificial neural networks for bot...
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
An overview is given on the use of cellular automata for image processing. We first consider the num...
An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
Cellular Neural Networks (CNN) were introduced by Chua and Yang in 1988 [1]. The idea of the CNN was...
An analytical approach is obviously practical only when we want to study nonlinear systems of low co...
Wolfram famously developed a four-way classification of CA behaviour, with Class IV containing CAs t...
Deep learning structure is a branch of machine learning science and greet achievement in research an...
Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequ...