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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...
Neural network application in simulations of composites Al-Al2O3 tribological properties
Computational materials science Composites Infiltration
2009/12/2
Purpose: The purpose of this paper is application of neural networks in tribological properties simulation of
composite materials based on porous ceramic preforms infiltrated by liquid aluminium allo...
DOBD Algorithm for Training Neural Network: Part I. Method
neural network Marquardt overfitting
2009/11/16
Overfitting is one of the important problems that restrain the application of neural network. The traditional OBD (Optimal Brain Damage) algorithm can avoid overfitting effectively. But it needs to tr...
DOBD Algorithm for Training Neural Network: Part II. Application
neural network Marquardt method overfitting
2009/11/16
In the first part of the article, a new algorithm for pruning networkDynamic Optimal Brain Damage(DOBD) is introduced. In this part, two cases and an industrial application are worked out to test the ...
Qualitative Analysis in Locally Coupled Neural Oscillator Network
neural network limit cycle synchronization dynamic system
2013/7/16
The paper investigates a locally coupled neural oscillator autonomous system qualitatively. To obtain analytical results, we choose anapproximation method and obtain the set of parameter values for wh...
霉变板栗的近红外光谱和神经网络方法判别（Discrimination of Moldy Chinese Chestnut Based on Artificial Neural Network and Near Infrared Spectra）
板栗 近红外光谱 BP神经网络 预处理
2009/11/3
利用近红外光谱检测了带壳板栗的品质。在波数为12000～4000cm-1范围内采用近红外漫反射法采集了合格板栗和霉变板栗的光谱，用6种光谱预处理方法分析数据，比较了板栗近红外光谱在不同预处理方法下所建模型的识别率。试验结果表明经矢量归一化预处理所建模型识别效果最好，对预测集中的合格板栗、表面霉变板栗、内部霉变板栗的预测正确率分别为94.74%、94.44%、92.31%。
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...
The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks
Burkulma Ag yapisi egitilmesi Yapay sinir aglari Elastik kolonlar
2009/10/13
The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks。
Determination of the Effects of Water Pollution of Aquacultures using Neural Networks
Balı k havuzları Su kirlilgi Modelleme Yapay sinir agları
2009/10/13
Determination of the Effects of Water Pollution of Aquacultures using Neural Networks。
Artificial Neural Network Application for Flexible Pavement Thickness Modeling
Backcalculation Elastic modulus Neural networks Flexible pavements
2009/10/12
Flexible pavements are a ected by moving vehicles, climate and other environmental factors. As a result of these factors, the pavement starts to deteriorate. In order to prevent further deterioration,...
Neural Network Modelling of Outdoor Noise Levels in a Pilot Area
Noise Outdoor noise Noise modelling Artificial neural networks
2009/10/12
Noise measurements were made for 16 relevant outdoor points in the central campus area of Yidz Technical University. All measurements were performed in accordance with Turkish Standards using an HD ...