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{ "item_title" : "Recent Advances in Machine Learning and Computational Intelligence", "item_author" : [" Yue Wu", "Xinglong Zhang", "Pengfei Jia "], "item_description" : "Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/657/482/3036574824_b.jpg", "price_data" : { "retail_price" : "73.14", "online_price" : "73.14", "our_price" : "73.14", "club_price" : "73.14", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Recent Advances in Machine Learning and Computational Intelligence|Yue Wu

Recent Advances in Machine Learning and Computational Intelligence

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Overview

Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence.

Details

  • ISBN-13: 9783036574820
  • ISBN-10: 3036574824
  • Publisher: Mdpi AG
  • Publish Date: May 2023
  • Dimensions: 9.61 x 6.69 x 0.75 inches
  • Shipping Weight: 1.47 pounds
  • Page Count: 216

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