搜索结果: 61-75 共查到“工学 Neural Networks”相关记录106条 . 查询时间(0.043 秒)
MAPPING MAJOR CROPPING PATTERNS IN SOUTHEAST ASIA FROM MODIS DATA USING WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS
MODIS data Croplands Wavelet transform Artificial neural networks (ANNs) Southeast Asia
<
2014/4/28
Agriculture is one of the most important sectors in the economy of Southeast Asia countries, especially Thailand and Vietnam. These two countries have been the largest rice suppliers in the world and ...
Prediction of ultimate bearing capacity of Tubular T-joint under fire using artificial neural networks
Ultimate bearing capacity Tubular T-joint Artificial neural network Finite element analysis Fire
<
2012/3/23
An artificial neural network (ANN) model is developed for the prediction of the ultimate bearing capacity of tubular T-joint under fire. The input parameters of the network are composed of the diamete...
Prediction of ultimate bearing capacity of Tubular T-joint under fire using artificial neural networks
Ultimate bearing capacity Tubular T-joint Artificial neural network Finite element analysis Fire
<
2012/3/20
An artificial neural network (ANN) model is developed for the prediction of the ultimate bearing capacity of tubular T-joint under fire. The input parameters of the network are composed of the diamete...
We introduce a new procedure for training of artificial neural networks by using the approximation of an objective function by arithmetic mean of an ensemble of selected randomly generated neural netw...
Application of Artificial Neural Networks Model as Analytical Tool for Groundwater Salinity
Groundwater Salinity Artificial Neural Networks Modeling Analytical Tool
<
2013/3/12
The main source of water in Gaza Strip is the shallow coastal aquifer. It is extremely deteriorated in terms of salinity which influenced by many variables. Studying the relation between these variabl...
基于BP神经网络的果蔬热导率预测模型（Prediction Model of Thermal Conductivities of Fruits and Vegetables Based on BP Neural Networks）
果蔬 热导率 BP神经网络
<
2010/12/29
通过微热探针法测试装置研究了30个品种的果蔬热导率与可溶性固形物含量、含水率、密度和硬度等因素的变化关系，提出了一种基于BP神经网络的果蔬热导率预测模型，并根据误差比较分析进行了模型优化。结果表明，该优化网络模型具有较好的热导率预测效果，平均相对误差为1.11%，平均绝对误差为0.0057W/(m?K)，可以用于果蔬贮藏加工业中果蔬热传递过程的计算。
Experimental Comparison of Performance Monitoring Using Neural Networks Trained with Parameters Derived from Delay-Tap Plots and Eye Diagrams
Fiber optics communications Pattern recognition neural networks
<
2015/6/4
We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return...
Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties
artificial neural networks modelling quenched structural steels
<
2010/8/12
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised
structural steels m...
Application of artificial neural networks in modelling of normalised structural steels mechanical properties
Artificial intelligence methods Computational material science and mechanics Artificial neural networks
<
2009/12/14
Purpose: This paper presents the application of artificial neural networks for mechanical properties prediction of constructional steels after heat treatment.
Design/methodology/approach: On the basi...
Using Artificial Neural Networks and Function Points to Estimate 4GL Software Development Effort
Artificial Neural Networks Function Points 4GL Software Development Effort
<
2009/12/7
Hie value of neural network modelling techniques in performing complicated pattern recognition and nonlinear estimation tasks has been demonstrated across an impressive spectrum of applications. Softw...
Neural networks application for modeling carbonizing process in fluidized bed
Surface layer engineering Neuron networks Process modelling Artificial intelligent
<
2009/12/2
Purpose: This paper presents neural network model used for designing the assumed curve of hardness after carbonizing car drive cross in fluidized bed. This process is very complicated and difficult as...
Application of the artificial neural networks for prediction of magnetic saturation of metallic amorphous alloys
Computational material science Artificial neural networks Amorphous materials
<
2009/12/2
Purpose: The aim of the work is to employ the artificial neural networks for prediction of magnetic saturation of
the amorphous alloys with the iron and cobalt matrix.
Design/methodology/approach: I...
Modeling and predicting abrasive wear behaviour of poly oxy methylenes using response surface methodolgy and neural networks
abrasive wear poly oxy methylene neural network
<
2009/10/23
In this study, abrasive wear behaviour of poly oxy methylenes (POM) under various testing conditions was investigated. A central composite design (CCD) was used to describe response and to estimate th...
Suspended Sediment Estimation for Rivers using Artificial Neural Networks and Sediment Rating Curves
Sediment rating curve Arti cial neural networks
<
2009/10/13
The methods available for sediment concentration and flux estimation are largely empirical, with sediment rating curves being the most widely applied. In this study, a comparison is made between artif...
Suspended Sediment Estimation and Forecasting using Artificial Neural Networks
Suspended sediment Forecasting River flow
<
2009/10/13
The methods available in the literature for sediment concentration estimation are complicated and time consuming and necessitate cumbersome parameter estimation procedures. In this study, artificial n...