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The aim of the paper is to introduce a new approach for the Regions of Required Quality (RRQ) construction under the Control Systems computer-aided analysis and design. Application of the Artificial Neural Networks (ANNs) as a tool in the proposed techniques is represented under the title “Method of Sensitive Border”. The developed Neural network model of the RRQ-region's border allows one to get...
The sensor was made by thick film technology. A polymeric structure as sensitive layer containing cardo polysulfone has been tested in nitric oxides sensing. Feedforward neural networks with two hidden layers are used in mathematical modeling of the system, to predict the voltage of the sensor at a certain time. In this way, the efficiency of the sensor can be appreciated. An alternative methodology...
Atomization in flood discharge of high dam is a serious and complicated problem which belongs to the research field of water-air and air-water two phase flow. The motion of atomized flow is restricted by water head, discharge and operation scheme and affected by environmental wind and terrain. Numerical simulation is the main method of forecasting the range of atomization. Neural network as a new...
The identification process of the classical Preisach model which is based on a neural network approach is presented. The fundamental idea of this approach is to identify Preisach function by training a neural network with a set of loops whose identification function is already known. The suggested identification approach has been numerically implemented and carried out for a fast tool servo system...
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