Recurrent Neural Networks and Soft Computing
Mahmoud ElHefnawi, Mohamed Mysara
- 304 páginas
- English
- PDF
- Disponible en iOS y Android
Recurrent Neural Networks and Soft Computing
Mahmoud ElHefnawi, Mohamed Mysara
Información del libro
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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Índice
- Recurrent Neural Networks and Soft Computing
- Contents
- Preface
- Part 1 Soft Computing
- Part 2 Recurrent Neural Network