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This document shows a very versatile application for the design and implementation of neural controllers in simulation. This application runs over Matlab Software. The application allows to follow all the steps in a process of designing control systems. Processes of identification can be made. At the beginning a model of the system that wants to be controlled is built. Entry data adapted to a system...
In view of the defects in model of thermocouple characteristic using BP neural network (BPNN), such as lower precision, varying output, instability (after repeated training, the output may be queer), a model of thermocouple characteristic based on Generalized Regression Neural Network (GRNN) is established. The paper gives the process of model building for Ni-Cr Constantan thermocouple characteristic...
A new method of solving the multiple real roots of polynomial by neural networks is proposed in this paper. This method combines the symbolic method with the numerical method. Based on the complete discrimination system of polynomial, the number and multiplicities of the distinct real roots of polynomials can be explicit determined. According to the number of the distinct real roots, a neural networks...
In measurement systems, environmental conditions are measured based on predefined scenarios. Measured data are then processed in either a decentralized or centralized manner. In advanced systems (especially for distributed data processing), taking artificial intelligence features into consideration could improve measurement performance and reliability. It is assumed as autonomy in measurement system...
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