Titlebook: Engineering Applications of Neural Networks; 16th International C Lazaros Iliadis,Chrisina Jayne Conference proceedings 2015 Springer Inter

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Mixed Phenomenological and Neural Approach to Induction Motor Speed Estimation system mathematical model as a set of transformed, easily measured input variables. It is demonstrated analytically that the set suits well to speed approximation if the approximated signal is a constant or changes linearly. It is then demonstrated numerically that this set is also quite effective

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Closed Loop Identification of Nuclear Steam Generator Water Level Using ESN Network Tuned by Geneticnditions. Simulating this system can be very useful to train people involved in the real plant operation. However, in order to simulate this system the identification process must be performed. Echo State Networks are a special type of Recurrent Neural Networks that are well suited to nonlinear dyna

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On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks important parameters that indicate the grinding quality is the surface roughness (..). Analytical models developed to predict surface finish are not easy to apply in the industry. Therefore, many researchers have made use of Artificial Neural Networks. However, all the approaches provide a particul

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