Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks, Iwann 2019, Gran Canaria, Spain, June 12-14,
暫譯: 計算智慧的進展:第十五屆國際人工神經網路工作會議,Iwann 2019,西班牙大加那利島,2019年6月12-14日

Rojas, Ignacio, Joya, Gonzalo, Catala, Andreu

  • 出版商: Springer
  • 出版日期: 2019-05-16
  • 售價: $5,320
  • 貴賓價: 9.5$5,054
  • 語言: 英文
  • 頁數: 940
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030205207
  • ISBN-13: 9783030205201
  • 海外代購書籍(需單獨結帳)

商品描述

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019.
The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

商品描述(中文翻譯)

這兩卷的 LNCS 10305 和 LNCS 10306 是第十五屆國際人工神經網路工作會議(IWANN 2019)的經過審核的會議論文集,該會議於 2019 年 6 月在西班牙的格蘭卡納利亞舉行。
這兩卷中呈現的 150 篇修訂完整論文是從 210 篇投稿中仔細審核和選出的。這些論文按主題分為幾個部分,包括:氣象觀測與預測中的機器學習;時間序列的計算智能方法;人類活動識別;腦機介面系統的新趨勢與未來趨勢;隨機權重神經網路;模式識別;深度學習與自然語言處理;軟體測試與智能系統;數據驅動的智能交通系統;醫療保健與生物醫學中的深度學習模型;超越卷積的深度學習;用於生物醫學影像處理的人工神經網路;視覺與機器人中的機器學習;系統識別、過程控制與製造;影像與信號處理;軟計算;神經網路的數學;互聯網建模、通信與網絡;專家系統;進化與遺傳演算法;計算智能的進展;計算生物學與生物資訊學。

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