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portada Recurrent Neural Networks and Soft Computing
Type
Physical Book
Publisher
Author
Language
English
Pages
306
Format
Hardcover
Dimensions
24.4x17x1.9 cm
Weight
0.68 kg.
ISBN13
9789535104094
Categories

Recurrent Neural Networks and Soft Computing

Elhefnawi, Mahmoud ; Mysara, Mohamed (Author) · Intechopen · Hardcover

Recurrent Neural Networks and Soft Computing - Elhefnawi, Mahmoud ; Mysara, Mohamed

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Synopsis "Recurrent Neural Networks and Soft Computing"

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.

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