1 option
Recurrent Neural Networks and Soft Computing / edited by Mahmoud ElHefnawi and Mohamed Mysara.
- Format:
- Book
- Author/Creator:
- ElHefnawi, Mahmoud, Editor.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Physical Description:
- 1 online resource (304 pages) : illustrations some color
- Place of Publication:
- IntechOpen 2012
- Croatia : IntechOpen, 2012.
- Language Note:
- English
- Summary:
- 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.
- Notes:
- Description based on: online resource; title from PDF information screen (Intech, viewed October 14, 2022).
- Includes bibliographical references.
- ISBN:
- 9789535156208
- 9535156209
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.