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{ "item_title" : "Multidisciplinary Approaches to Neural Computing", "item_author" : [" Anna Esposito", "Marcos Faudez-Zanuy", "Francesco Carlo Morabito "], "item_description" : "Provides fundamental insights for cross-fertilization: machine learning, artificial neural networks (ANNs) (algorithms and models), social and biometric data for applications in human-computer interactions, and neural networks-based approaches to industrial processes Identifies features from dynamic realistic signal exchanges and invariant machine representations to automatically identify, detect, analyze, and process them in related applicationsSimplifies automatic signal processing and its exploitation in realistic applications devoted to improving the quality of life of the end usersFeatures contributions from computer science, physics, psychology, statistics, mathematics, electrical engineering, and communication science", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/956/903/3319569031_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multidisciplinary Approaches to Neural Computing|Anna Esposito

Multidisciplinary Approaches to Neural Computing

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Overview

Provides fundamental insights for cross-fertilization: machine learning, artificial neural networks (ANNs) (algorithms and models), social and biometric data for applications in human-computer interactions, and neural networks-based approaches to industrial processes

Identifies features from dynamic realistic signal exchanges and invariant machine representations to automatically identify, detect, analyze, and process them in related applications

Simplifies automatic signal processing and its exploitation in realistic applications devoted to improving the quality of life of the end users

Features contributions from computer science, physics, psychology, statistics, mathematics, electrical engineering, and communication science

This item is Non-Returnable

Details

  • ISBN-13: 9783319569031
  • ISBN-10: 3319569031
  • Publisher: Springer
  • Publish Date: September 2017
  • Dimensions: 9.21 x 6.14 x 0.94 inches
  • Shipping Weight: 1.64 pounds
  • Page Count: 388

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