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Hybrid artificial neural networks for component design of space telemetry processing systemsThis paper describes a software system of neural network control of space telemetry data

Algorithm of the multilayer artificial feed-forward neural network learningThe algorithm of the multilayer feed-forward neural network learning is developed. The algorithm

Robust Estimation of VANET Performance-Based Robust Neural Networks Learning and vehicle with a high mobility feature. Presently the artificial neural networks is often used in several

Parabola As an Activation Function of Artificial Neural Networks to the construction of an s-shaped function is suitable for tuning a neural network through reverse error propagation

Financial robot based on deep neural networks the integrity of financial systems. Noteworthy strides made by artificial intelligence (AI) experts

Use of an artificial neural network algorithm and cokriging method for reservoir porosity modeling of seismic data can be significantly enhanced through the use of neural network modeling, attribute analysis

Нейросетевая система оценки зависимости цветов фотографий профиля в социальной сети и количества отметок «нравится» and preparation of data for training a neural network and how its training was carried out. Then, the quality

Hetero-associative memory technology for development of intelligent control systems of autonomous mobile robots are considered. Based on the synthesis of artificial neural networks and associative memory, a neural network

Improvement of 'winner takes all' neural network training for the purpose of diesel engine fault clustering to implement the analysis with the help of an artificial neural network. The application of the artificial

AI development basen on neural network for Sea Battle gameThe paper provides an overview of the methods of training neural networks. The type of neural

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