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This paper presents a method of determining the coefficient of friction in metal forming using multilayer perceptron based on experimental data obtained from the pin-on-disk tribometer. As test material, deep-drawing quality DC01, DC03 and DC05 steel sheets were used. The experimental results show that the coefficient of friction depends on the measured angle from the rolling direction and corresponds...
Article presents current control in power converter using neural network. The task is to track reference signal with possible smallest error. Effort has been done to optimize structure and parameters of the neural network. Optimization uses Genetic Algorithm method, and is based on multiple simulation of prepared model in order to achieve assumed task. Power converter consists of 4 MOSFET keys (1-phase),...
The article is related to the results of research on Node Decoupled Extended Kalman Filtering (NDEKF) as a learning method for the training of Multilayer Perceptron (MPL). Developments of this method made by the author are presented. The application of NDEKF and MPL and other methods (pruning of MLP, Gauss Process model calibrated by Genetic Algorithm and Bayesian learning methods) are discussed on...
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