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{ "item_title" : "Artificial Neural Networks and Machine Learning - Icann 2016", "item_author" : [" Alessandro E. P. Villa", "Paolo Masulli", "Antonio Javier Pons Rivero "], "item_description" : "The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/944/780/3319447807_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Neural Networks and Machine Learning - Icann 2016|Alessandro E. P. Villa

Artificial Neural Networks and Machine Learning - Icann 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September

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Overview

The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016.
The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.

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Details

  • ISBN-13: 9783319447803
  • ISBN-10: 3319447807
  • Publisher: Springer
  • Publish Date: August 2016
  • Dimensions: 9.21 x 6.14 x 1.19 inches
  • Shipping Weight: 1.79 pounds
  • Page Count: 557

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