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dc.contributor.editorElHefnawi, Mahmoud
dc.contributor.editorMysara, Mohamed
dc.date.accessioned2021-04-20T15:29:47Z
dc.date.available2021-04-20T15:29:47Z
dc.date.issued2012
dc.identifierONIX_20210420_9789535104094_1295
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/65937
dc.description.abstractNew 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherNeural networks & fuzzy systems
dc.titleRecurrent Neural Networks and Soft Computing
dc.typebook
oapen.identifier.doi10.5772/2296
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535104094
oapen.relation.isbn9789535156208
oapen.imprintIntechOpen
oapen.pages304


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