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{ "item_title" : "Artificial Neural Networks and Machine Learning - Icann 2022", "item_author" : [" Elias Pimenidis", "Plamen Angelov", "Chrisina Jayne "], "item_description" : "The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.Chapter Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/115/918/3031159187_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 2022|Elias Pimenidis

Artificial Neural Networks and Machine Learning - Icann 2022 : 31st International Conference on Artificial Neural Networks, Bristol, Uk, September 6-9,

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Overview

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022.
The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.

Chapter "Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping " is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This item is Non-Returnable

Details

  • ISBN-13: 9783031159183
  • ISBN-10: 3031159187
  • Publisher: Springer
  • Publish Date: September 2022
  • Dimensions: 9.21 x 6.14 x 1.57 inches
  • Shipping Weight: 2.39 pounds
  • Page Count: 761

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