Neural cellular automata (Neural CA) are a recent framework used to model biological
phenomena emerging from multicellular organisms. In these systems, artificial neural …

Книга посвящена вопросам разработки систем компьютерного зрения, основной
задачей которых является тематическая дешифрация аэрофотосъемки и спутниковых …

For air-quality assessments in most major urban centers, air pollutants are monitored using
continuous samplers. Sometimes data are not collected due to equipment failure or during …

In this paper, a modern image-processing technique, the Cellular Neural Network (CNN)
has been firstly applied to Bouguer anomaly map of synthetic examples and then to data …

Современные тенденции развития перспективных архитектур высокопараллельной
вычислительной техники (ВТ), проблемы моделирования дискретных параллельных …

In this paper, a Cellular Neural Network (CNN) has been applied to a magnetic
regional/residual anomaly separation problem. CNN is an analog parallel computing …

Purpose of this study is to investigate the dynamical properties of Chua and Yang cellular
neural networks (CNNs). Based on the continuation theorem of coincidence degree theory …

This paper presents a tool for automatically generating test data for Pascal programs that
satisfy the data flow criteria. Unlike existing tools, our tool is not limited to Pascal programs …

In this paper a universal simulator for cellular neural network (CNN) is presented. CNN with
nonlinear and delay-type templates can be simulated precisely with SCNN, practically …

A learning procedure for the dynamics of cellular neural networks (CNN) with nonlinear cell
interactions is presented. It is applied in order to find the parameters of CNN that model the …