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The Utilization Of Artificial Neural Networks In Marine Applications: An Overview

机译:人工神经网络在海洋应用中的应用:概述

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摘要

Traditional calculation methods used in naval architecture and marine engineering rely mainly on statistical approaches and regression analysis. A relatively new tool in this field is the use of artificial neural networks. Artificial neural networks possess a number of unique characteristics that make them particularly attractive in complex problems, such as the ship design process. In this paper, an overview of the application of neural networks to various aspects of the ship design process is examined. Representative examples in the literature are presented in order to illustrate the power and the versatility of such an approach. The paper aims to provide the reader, whether a novice or an expert in the field of artificial intelligence and naval architecture, with useful sources as well as outline the potential for the extensive use of neural networks in naval applications.
机译:海军建筑和海洋工程中使用的传统计算方法主要依靠统计方法和回归分析。该领域中相对较新的工具是使用人工神经网络。人工神经网络具有许多独特的特性,这使得它们在诸如船舶设计过程之类的复杂问题中特别有吸引力。在本文中,对神经网络在船舶设计过程各个方面的应用进行了概述。为了说明这种方法的强大功能和多功能性,本文提供了代表性的例子。本文旨在为读者(无论是人工智能还是海军建筑领域的新手还是专家)提供有用的资源,并概述在海军应用中广泛使用神经网络的潜力。

著录项

  • 来源
    《Naval engineers journal》 |2008年第3期|p.19-26|共8页
  • 作者

    George Gougouudis;

  • 作者单位

    Mechanical Engineering Department (Center for Ocean Engineering) at MIT;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水路运输;
  • 关键词

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