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.
| Leidėjas: | IntechOpen |
| Išleidimo metai: | 2012 |
| Knygos puslapių skaičius: | 304 |
| ISBN-10: | 9535104098 |
| ISBN-13: | 9789535104094 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Neural networks and fuzzy systems |
Parašykite atsiliepimą apie „Recurrent Neural Networks and Soft Computing“
