The subject of this thesis is the original study of the application of the multi-layer perceptron architecture to channel equalization in digital communications systems. Both theoretical analyses and simulations were performed to explore the performance of the perceptron-based equalizer (including the decision feedback equalizer). Topics covered include the factors that affect performance of th...

In the domain of artificial neural networks, learning process represents one most challenging tasks. Since classification accuracy highly depends on weights and biases, it is crucial to find its optimal or suboptimal values for problem at hand. However, a very large search space, difficult proper connection biases. Employing traditional optimization algorithms this issue leads slow convergence ...

The vision system provides an important way for construction robots to obtain the type and spatial location information of object. characteristics environment, object, robot structure are jointly examined in this paper propose approach object segmentation by spraying based on multi-layer perceptron. Firstly, hand-eye experimental platform is built through establishing mathematical model calibra...

The purpose of train detection systems is to check that related track section clear vehicles before a may be authorized pass through railroad. the important task for ensuring safety traffic. Multi-layer Perceptron classifier, which consists feedforward neural networks constructed multiple layers interconnected artificial neurons, proved effective trainset class classification in this study. Usi...