TY - CHAP A1 - Dan D. Micu A2 - Georgios C. Christoforidis A3 - Levente Czumbil ED1 - Mahmoud ElHefnawi ED2 - Mohamed Mysara Y1 - 2012-03-30 PY - 2012 T1 - Artificial Intelligence Techniques Applied to Electromagnetic Interference Problems Between Power Lines and Metal Pipelines N2 - New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from chapters on the recognition of severe weather patterns, adult and foetal ECGs in healthcare and the prediction of temperature time-series signals. Additional topics in this vein are the application of AI techniques to electromagnetic interference problems, bioprocess identification and I-term control and the use of BRNN-SVM to improve protein-domain prediction accuracy. Recurrent neural networks can also be used in virtual reality and nonlinear dynamical systems, as shown by two chapters. BT - Recurrent Neural Networks and Soft Computing SP - Ch. 12 UR - https://doi.org/10.5772/37637 DO - 10.5772/37637 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-05-08 ER -