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20.557  Articles
In this paper we propose a neuro-mimetic technique relating to the detection of beacons in mobile robotics. The objective is to bring a robot moving in an unspecified environment to acquire attributes for recognition. We develop a practical approach for t... see more

This paper presents a novel unsupervised and incremental learning technique for data clustering that are polluted by noise using neural network approaches. The proposed approach is based on a self-organizing incremental neural network.The design of two-la... see more

In this work, we consider the design of a neural network controller for the ABS laboratory system witch’s highly non linear. The objective is to control the wheel slip. The controller is designed off-line using a multi-objective optimisation process solve... see more

The object of research is the processes of beneficiation of iron ore in the conditions of a mining and processing plant. Iron ore beneficiation factory near parallel to existing production lines or concentration sections. One of the key characteristics th... see more

Aliran masuk ke Danau Towuti, Kabupaten Luwu, Sulawesi Tengah, dianalisa dengan artificial neural network. Network mempunyai susunan yang terdiri dari 6 node pada layer input, 8 node pada hidden layer, dan 1 node pada layer output. Weight dari network dih... see more

Today, the use of artificial intelligence based on neural networks is the most effective approach to solving image recognition problems. The possibility of using a convolutional neural network to create a pattern detector for technical analysis based on s... see more

Cross language classification is an important task in multilingual learning, where documents in different languages often share the same set of categories. The main goal is to reduce the labeling cost of training classification model for each individual l... see more

Computer technologies are widely implemented in clinical dental practice. The use of computer neural network programs in predicting dental caries as the most common dental disease is quite relevant.The aim – to study the effectiveness of using the “Caries... see more

 
The present paper deals with the use of neural networks in the displacement and deformation fields modelling and analysis. The Generalized Regression Neural Network (GRNN) has proved its efficiency and reliability than the classical methods in the approxi... see more

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