Recurrent Neural Networks and Soft Computing
Overview & Synopsis
New applications in Recurrent Neural Networks (RNNs) 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.
Indexed from repository: FreeComputerBooks.com
(
freecomputerbooks.com)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | Recurrent Neural Networks and Soft Computing |
|---|---|
| Author / Organization | Mahmoud ElHefnawi, Mohamed Mysara |
| Subject & Discipline | Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence |
| Categories | Neural Networks |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 10089.1 KB (10,331,203 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-94687 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |