...
首页> 外文期刊>Control & Cybernetics >Neural Networks and Sea Time Series. Reconstruction and extreme-event analysis
【24h】

Neural Networks and Sea Time Series. Reconstruction and extreme-event analysis

机译:神经网络和海洋时间序列。重建和极端事件分析

获取原文
获取原文并翻译 | 示例
           

摘要

Nowadays, neural networks (NN) are widely applied to several classification, prediction and approximation tasks. The book under consideration touches one of the less popular application areas, which is analysis, reconstruction and prediction of various marine time series.rnThe book is composed of eleven chapters, which can functionally be divided into four parts. The first two chapters provide an introduction to the subject. Chapters 3-6 cover mathematical foundations of marine time series description and discuss theoretically the use of NN and statistical methods in approximation and prediction of such series. The next part, composed of the four following chapters, describes several experiments carried out using NN and statistical models. The last chapter provides conclusions and a brief description of open problems encountered by the authors while working on the subject.
机译:如今,神经网络(NN)已广泛应用于几种分类,预测和逼近任务。本书涉及的是不那么流行的应用领域之一,即各种海洋时间序列的分析,重建和预测。本书由十一章组成,从功能上可以分为四个部分。前两章介绍了该主题。第3-6章介绍了海洋时间序列描述的数学基础,并在理论上讨论了NN和统计方法在此类序列的逼近和预测中的应用。下一部分由以下四章组成,描述了使用NN和统计模型进行的几个实验。最后一章提供了结论并简要描述了作者在研究该主题时遇到的开放性问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号