predicting self reported health status using artificial neural networks

... Technology in Civil Engineering NUCE 2020 14 (2): 28–39PREDICTING FIRE RESISTANCE RATINGS OF TIMBER STRUCTURES USING ARTIFICIAL NEURAL NETWORKS Pham Thanh Tunga,∗, Pham Thanh Hungb a Faculty ... can be calculated using equation (2) Out x 1 Sigmoid x 2 x 3 x n w 1 w2 w3 wn Sum (a) Feed-forward network 3 Artificial Neural Network 3.1 Network structure An Artificial Neural Network is ... selected depending on the certain requirements of the problems 3 Artificial Neural Network 3.1 Network structure An Artificial Neural Network is a collection of processing neurons grouped in

Ngày tải lên: 20/09/2020, 20:41

... with self‑rated health between Japan and Egypt Methods: Among 4862 Japanese and 3111 Egyptian civil workers recruited by a convenience sample in 2018/2019 and reported self‑rated health status, ... question “How do you rate your current health status?” Participants who chose “not very good” and “not good” were considered to have a poor self-reported health status Other variables We collected ... poor self-reported health across the increasing categories of the conflicts, age groups, smoking status, alcohol drinking status (for Japanese only), and quartiles of physical activity using

Ngày tải lên: 29/11/2022, 00:37

... Trang 1Feature subset selection in dynamic stability assessment power system using artificial neural networks  Nguyen Ngoc Au 1  Quyen Huy Anh 1  Phan Thi Thanh Binh 2 1Ho Chi Minh ... method of feature subset selection in dynamic stability assessment (DSA) power system using artificial neural networks (ANN) In the application of ANN on DSA power system, feature subset selection ... the method of feature subset selection in dynamic stability assessment power system using artificial neural networks This paper proposed applying four feature subset selection algorithms that

Ngày tải lên: 12/02/2020, 19:45

... ESTIMATING THE EFFECTIVE ELASTIC MODULI OF MATRIX COMPOSITES WITH ARBITRARY INCLUSION SHAPES USING ARTIFICIAL NEURAL NETWORKS Nguyen Thi Hai Nhua, Tran Anh Binha,∗, Ha Manh Hungb a Faculty of Information ... that the feed-forward artificial neural network can be used to replace a mechanical constitutive model Various studies have utilized fitting techniques including the artificial neural network (ANN) ... (9) 3 The computation of effective properties and equivalent inclusion coefficients using ANN Artificial Neural Networks have been inspired from human brain structure In such model, each neuron

Ngày tải lên: 25/11/2020, 20:05

... socio-economic load and foreign origin are associated with health-status (poor self-reported general health, physical health prob-lems and mental health probprob-lems) Data collection All pupils in ... The second aim, to examine if, and if so in what way, health-status (poor self-reported general health, physical health problems, mental health problems) are associated with abuse [mother-abuse ... poor general health and mental as well as physical health problems among boys and girls Father‑abuse was associated with poor mental health if severe abuse was reported Poor mental health was also

Ngày tải lên: 10/01/2020, 15:07

... in Civil EngineeringArtificial Neural Network (ANN) is an Artificial Intelligence technique which is believed to have broad applications in risk management [8] McKim used the neural network for ... projects The following sections will explain the research approach in detail 2 Artificial Neural Network Artificial Neural Network (ANN) is an information processing technology that simulates the ... layer, values obtained are results of the neural network Ha, L.H / Journal of Science and Technology in Civil Engineering Artificial Neural Network (ANN) is an Artificial Intelligence technique which

Ngày tải lên: 11/02/2020, 12:51

... www.GrowingScience.com/ijiec Modeling and optimization of laser direct structuring process using artificial neural network and response surface methodology Institute for Factory Automation and Production ... process and the quality of the final product In this work we develop mathematical models by using Artificial Neural Network (ANN) and Response Surface Methodology (RSM) to study this process The proposed ... 2015 Growing Science Ltd All rights reserved Keywords: LDS process MID process Modeling Artificial neural network Response surface methodology 1 Introduction The MID process has received

Ngày tải lên: 14/05/2020, 21:53

... assess their mental health relative to civilians self-reported health in military women early and late in their careers and there is a gap in the literature on self-reported health in military ... age and military status Discussion This study examined self-reported physical and mental health in active duty military women and compared it to self-reported physical and mental health in active ... The aim of this study was to examine self-reported physical and mental health in Norwegian military women Methods: We compared responses on self-reported health of 1068 active duty military women

Ngày tải lên: 23/09/2020, 11:54

... Trang 1R E S E A R C H Open AccessDevelopment of models for predicting Torsade de Pointes cardiac arrhythmias using perceptron neural networks Mohsen Sharifi, Dan Buzatu*, Stephen Harris and Jon ... novel substructure code Anal Chim Acta 1978;103:355 –65. 21 Meiler J, Maier W, Will M, Meusinger R Using neural networks for (13) C NMR chemical shift prediction-comparison with traditional methods ... interatomic dis-tances constituted descriptor vectors for each molecule Selection of neural network parameters Neural networks are non-parametric modeling tools and use a series of weights and hidden

Ngày tải lên: 25/11/2020, 16:20

... log data by using the Artificial Neural Networks, without calculating of the volume of shale V sh 2 Artifical Neural Networks (ANN) ANN is the mathematical model of the biological neural network ... Son basin directly from the well log data via using the Artificial neural networks (ANNs) without calculating the volume of shale V sh Check by using the ANN of this study to calculate S wi ... of the output S neural and the j neural of hidden layer ( j 1,2, N h ) 1 ij  is weight of the intput neural i sent to the neural j of hidden layer, 2 j  is weight of the j neural of hidden

Ngày tải lên: 24/01/2021, 00:59

... method for correction and supplementing of the well log curves by using the Artificial Neural Networks Check by 2 ways: 1) Using the good recorded curves, we assume some segments are broken, ... of the Output GR neural and the j neural of Hidden layer ( j 1,2, k ) 1 ij  is weight of the Intput neural i sent to the neural jof Hidden layer, 2 j  is weight of the j neural of Hidden ... McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [3] Bùi Công Cường: Mathematical Institute of Vietnam.Publishing scientific and technical 2006 Artificial Neural Networks and fuzzy

Ngày tải lên: 24/01/2021, 01:29

... research has selected the Artificial Neural Network method 2.2 Artifical neural Networks (ANN) The Artifical neural Networks-ANN is the mathematical model of the biological neural Networks to solve ... data by using Artificial Neural Networks Firstly, by using the mineral volumes of a well that the BASROC software could calculate with great accuracy for network instruction, then the neural system ... [6] LiminFu McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [7] Carlos Gershenson C.Gershenson@sussex.ac.uk Artificial Neural Networks for Beginners [8] Pof S Sengupta

Ngày tải lên: 24/01/2021, 22:13

... method for correction and supplementing of the well log curves by using the Artificial Neural Networks Check by 2 ways: 1) Using the good recorded curves, we assume some segments are broken, ... of the Output GR neural and the j neural of Hidden layer ( j 1,2, k ) 1 ij  is weight of the Intput neural i sent to the neural jof Hidden layer, 2 j  is weight of the j neural of Hidden layer ... McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [3] Bùi Công Cường: Mathematical Institute of Vietnam.Publishing scientific and technical 2006 Artificial Neural Networks and fuzzy

Ngày tải lên: 27/01/2021, 00:02

... method for correction and supplementing of the well log curves by using the Artificial Neural Networks Check by 2 ways: 1) Using the good recorded curves, we assume some segments are broken, ... of the Output GR neural and the j neural of Hidden layer ( j 1,2, k ) 1 ij  is weight of the Intput neural i sent to the neural jof Hidden layer, 2 j  is weight of the j neural of Hidden layer ... McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [3] Bùi Công Cường: Mathematical Institute of Vietnam.Publishing scientific and technical 2006 Artificial Neural Networks and fuzzy

Ngày tải lên: 17/03/2021, 20:12

... research has selected the Artificial Neural Network method 2.2 Artifical neural Networks (ANN) The Artifical neural Networks-ANN is the mathematical model of the biological neural Networks to solve ... data by using Artificial Neural Networks Firstly, by using the mineral volumes of a well that the BASROC software could calculate with great accuracy for network instruction, then the neural system ... [6] LiminFu McGraw-Hill, NewYork (1994) Neural networks in computer intelligence [7] Carlos Gershenson C.Gershenson@sussex.ac.uk Artificial Neural Networks for Beginners [8] Pof S Sengupta

Ngày tải lên: 17/03/2021, 20:17

... of their current health status Hambleton et al • Predictors of self- reported health status among elderly persons in Barbados TABLE Potential determinants of self- reported health status, study of ... of self- reported health DISCUSSION TABLE Distribution (%) of self- reported health status and disease indicators among 443 elderly persons in study of historical and current predictors of self- reported ... rated self- reported health status on a five-point scale: poor, fair, good, very good, and excellent Because of low responses in the extreme categories, we modeled self- reported health status...

Ngày tải lên: 14/03/2014, 20:20

... 1–30 Zupan, J & Gasteiger, J (1993) Neural networks for chemists: An introduction Weinheim: VCH Publishers Cirovic, D.A (1997) Feed-forward artificial neural networks: Applications to spectroscopy ... results reported by Taib and Narayanaswamy which reported that an optimized and suitable network can be attained with network size of 6–17 neurons in hidden layer.13 Table 2: MSE values of the networks ... suitable to be used in predicting the response of the concentration of Pb(II) and Cd(II) since it showed a low MSE value Zupan and Gasteiger8 reported that, ANN training by using much higher number...

Ngày tải lên: 07/08/2014, 14:20

... IV THE ARTIFICIAL NEURAL NETWORK ……………………………………27 4.1 Fast Artificial Neural Network (FANN) …………… …………………… 29 4.2 Creating the Artificial Neural Network ……………………………… ……30 4.3 Training the Artificial ... spam by using an artificial neural network (ANN), software programs used for recognizing patterns, based on the biological neural networks in our brains As information propagates through a neural ... Reformatting File Names 26 CHAPTER IV THE ARTIFICIAL NEURAL NETWORK An artificial neural network (ANN) is a computational model based on biological neural networks Given proper inputs, they are...

Ngày tải lên: 30/10/2014, 20:14

... Respondents
further
described
increases
of
smells
as
follows:
50
(37.9%)
respondents reported smelling
 gasoline
or
fuel,
6
(4.5%) reported rotten
eggs,
2
(1.5%) reported citrus‐type
cleaner,
6
(4.5%) reported liquid
dish
soap,
2
(1.5%) reported dry‐cleaning
chemicals,
6
(4.5%) reported unspecified
chemicals,
8
 ... Respondents
further
described
increases
of
smells
as
follows:
38
(26.8%)
respondents reported smelling
 gasoline
or
fuel,
11
(7.7%) reported rotten
eggs,
6
(4.2%) reported citrus‐type
cleaner,
3
(2.1%) reported liquid
dish
soap,
1
(0.7%) reported dry
cleaning
chemicals,
5
(3.5%) reported unspecified
chemicals,
19
 ... Respondents
further
described
increases
of
smells
as
follows:
32
(16.1%)
respondents reported smelling
 gasoline
or
fuel,
2
(1.0%) reported rotten
eggs,
1
(0.5%) reported citrus‐type
cleaner,
1
(0.5%) reported liquid
dish
soap,
1
(0.5%) reported dry
cleaning
chemicals,
3
(1.5%) reported unspecified
chemicals,
69
...

Ngày tải lên: 31/03/2014, 07:20

... input for training and testing of classifying features using SVM Artificial neural network ANN is one of the approaches to forecast and validate using computer models with some of the architecture ... human brain [22] The technology that attempts to achieve such results is called neural computing or artificial neural networks ANN mimics biological neurons by simulating some of the workings of ... Soft Computing 10 (2010) 344–360 The efficiency of classification of gear box faults using above networks are reported in Tables 3–8 for classifying the faults namely dry lubrication-no load, dry...

Ngày tải lên: 04/04/2016, 22:35