Recurrent Neural Networks and Soft Computing

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Recurrent Neural Networks and Soft Computing is written by Mahmoud ElHefnawi and published by BoD – Books on Demand. It's available with International Standard Book Number or ISBN identification 9535104098 (ISBN 10) and 9789535104094 (ISBN 13).

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.