Neural Networks for Instrumentation, Measurement, and Related Industrial Applications

accuracy adaptive algorithm analysis approximation architecture artificial neural network attractor backpropagation basis functions bearing behavior chaotic circuit classifier complex components composite system condition monitoring cross-validation defined detection diagnosis dimension dynamic systems electronic embedding enhanced training environment equations error estimation evaluation examples feature extraction feed-forward feedback Figure filter fusion fuzzy logic gradient Henon's hidden layer IEEE IEEE Trans implementation input Instrumentation and Measurement iterative laser processing learning linear Lorenz's Lyapunov function Lyapunov's exponent machine mapping measurement systems method module neural computation neural model neurons noise observed obtained operating optimal output parameters perceptron performance phase phase space physical plant prediction problem Proc quantity recurrent neural networks representation robot samples seam welding selection sensors shown in Fig sigmoidal functions Signal Processing solution specific spot welding static system identification techniques temperature training set uncertainty validation values vector vibration weights