Neural networks in ocean engineering

From: Ships and Offshore Structures | Date: January 1, 2006| Author: Deo, M C; Jain, P | Copyright information

Abstract: The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the research studies reported so far in these areas. It is found that, in general, neural networks provide a better alternative, either substitutive or complementary, to traditional computational schemes of statistical regression, time series analysis, patt...

Related newspaper, magazine, and journal articles from HighBeam Research

Neural Network Analysis of Langmuir Probe Data from a Magnetized Plasma.(Statistical Data Included)
Transactions of the Kansas Academy of Science ; The theory of operation of a Langmuir probe in a magnetic field is incomplete. To overcome this limitation a neural network software model is developed for the automated real-time analysis of probe current-voltage characteristics taken in magnetized plasmas. The results of the network analysis are
Implementation of a Neural Network HEMT Model Into ADS. (Technical Feature).(Statistical Data Included)
Microwave Journal ; Neural network algorithms have been applied to various areas of engineering and computer science. A high electron-mobility transistor (HEMT) large-signal model has been implemented in the Advanced Design System (ADS) software package using a multilayered neural network. The neural network model was
Difficulties in estimating the normalizing constant of the posterior for a neural network.
Journal of Computational & Graphical Statistics ; This article reviews a number of methods for estimating normalizing constants in the context of neural network regression. Model selection or model averaging within the Bayesian approach requires computation of the normalizing constant of the posterior. This integral can be challenging to estimate,
Artificial neural network application to business performance with economic value added.(Manuscripts)
Academy of Information and Management Sciences Journal ; ABSTRACT An application of neural networks to classify the performance status of business firms is performed. An artificial neural network (ANN) model is developed using publicly available dataset as input and output variables. Several different neural network topologies are designed and applied to
A neural network - could it work for you?
Financial Executive ; A neural network--could it work for you? The cream of the artificial-intelligence crop today is the neural network--systems that learn from their experiences. Read how you can use the sophisticated technology to improve your financial decision-making. The power of the computer is about to take
Comments on "New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Longwave Radiation in a Climate Model"/Reply
Monthly Weather Review ; 1. Introduction The dramatic increase in computer power over the last decades has not fulfilled the ever-increasing needs of the climate and weather sciences. Improving the efficiency of numerical models is still topical. In their paper "New approach to calculation of atmospheric model physics:
Consumer's guide to neural network software.
Futures (Cedar Falls, Iowa) ; Neural networks are a technology increasingly used by traders to make sense of the markets. But making sense of the many neural network software products available is another task entirely. Here is a comparison showing which products have the right stuff. Some call them the ultimate curve-fitting
Applying neural network models to prediction and data analysis in meteorology and oceanography
Bulletin of the American Meteorological Society ; ABSTRACT Empirical or statistical methods have been introduced into meteorology and oceanography in four distinct stages: 1) linear regression (and correlation), 2) principal component analysis (PCA), 3) canonical correlation analysis, and recently 4) neural network (NN) models. Despite the great
CONSTRUCTIVE GRADIENT NEURAL NETWORK
Neural Network World ; ... Geometric representation of the neural network The often-used functional representation of neural network is a function that maps n-dimensional linear input space to m-dimensional output space. When we need to find a geometrical representation, we have to ...
Observed Relationships between Arctic Longwave Cloud Forcing and Cloud Parameters Using a Neural Network
Journal of Climate ; ABSTRACT A neural network technique is used to quantify relationships involved in cloud-radiation feedbacks based on observations from the Surface Heat Budget of the Arctic (SHEBA) project. Sensitivities of longwave cloud forcing (CFL) to cloud parameters indicate that a bimodal distribution