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{ "item_title" : "Recurrent Neural Networks and Soft Computing", "item_author" : [" Mahmoud Elhefnawi", "Mohamed Mysara "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/53/510/409/9535104098_b.jpg", "price_data" : { "retail_price" : "179.00", "online_price" : "179.00", "our_price" : "179.00", "club_price" : "179.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Recurrent Neural Networks and Soft Computing|Mahmoud Elhefnawi

Recurrent Neural Networks and Soft Computing

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Overview

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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Details

  • ISBN-13: 9789535104094
  • ISBN-10: 9535104098
  • Publisher: Intechopen
  • Publish Date: March 2012
  • Dimensions: 9.61 x 6.69 x 0.75 inches
  • Shipping Weight: 1.51 pounds
  • Page Count: 306

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