predicting self reported health status using artificial neural networks

... 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

... composites using artificial neural networks. ” Compos Part B Eng., 43(8), 2990–3000 Kim, Y Y., et al (2006) “Dynamic analysis and structural optimization of a fiber optic sensor using neural networks. ” ... Kartam, N (1994) Neural networks in civil engineering I: Principles and understanding.” J Comput Civ Eng., 10.1061/(ASCE) 0887-3801(1994)8:2(131), 131–148 Hadi, M N S (2003) Neural networks applications ... proposed models, it can be seen that artificial neural networks are a powerful regression tool The proposed ANN models significantly increase the accuracy of predicting the compressive stress and...

Ngày tải lên: 16/12/2017, 03:57

... (GVW); however the accuracy decreased for individual axle weights [10] The application of artificial neural networks (ANN) to the B-WIM was attempted in 2003 by Gonzalez et al for noise removal and ... 14.8 94.0 B(10) B(10) 13 10.6 98.0 Class Conclusions In this study, the applicability of artificial neural networks (ANN) is investigated for the improvement of conventional B-WIM systems so that ... M.-S.; Lee, J.; Jo, B.-W.; Kim, S Development of Bridge WIM Systems without Axle Detector Using Artificial Neural Network In Proceedings of the Fourth International Conference on Bridge Maintenance,...

Ngày tải lên: 28/04/2014, 10:02

... speech movements by training an artificial neural network to associate or map fundamental acoustic properties of auditory speech to our visible speech parameters Neural networks have been shown to ... networks The remaining 10 seconds were used as a test set for the trained networks The restricted amount of training data avaliable from each speaker makes this data set a hard test for the networks ... units were able to learn the mapping by training several networks with 10, 50 and 100 hidden units 3.2 Results The networks were evaluated using the root mean square (RMS) error over time and the...

Ngày tải lên: 28/04/2014, 10:06

... 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

... chart for programming of the artificial neural network DESIGN ARTIFICIAL NEURAL NETWORK MODEL VERIFICATIONS OF MANN MODEL Neural networks are computer models that mimic the knowledge acquisition ... estimated using empirical equations And the maximum pore pressure ratio is used 30% that set by ASTM D4186 Verify the reliance of the ANN Fig Flow chart for programming of the artificial neural ... backpropagation neural network model for predicting proper strain rate involved three phases First, data collection phase involved gathering the data for use in training and testing the neural network...

Ngày tải lên: 22/03/2013, 15:01

... 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

... B Use of ANN for Price Estimation The artificial neural network (ANN) is a mathematical model which is based on biological neural network The artificial neural network (ANN) refers to the inter–connections ... the basic diagram of Artificial Neural Network (ANN) C Single layer feed forward networks: The neurons are organized in the layers in the layered neural network The layered neural network is the ... results, the model can be tested for its efficient prediction III THE ARTIFICIAL NEURAL NETWORK (ANN) MODELS The Artificial Neural Network (ANN) based models is the first technique which is used...

Ngày tải lên: 21/04/2017, 08:17

... of Neural Networks 163 Hazem M El-Bakry Chapter Applying Artificial Neural Network Hadron - Hadron Collisions at LHC 183 Amr Radi and Samy K Hindawi Chapter 10 Applications of Artificial Neural ... of IASTED Artificial Intelligence and Ap‐ plications, Innsbruck 23 Provisional chapter Chapter Biologically Plausible Artificial Neural Networks Biologically Plausible Artificial Neural Networks ... granule cells, which are also multipolar [57] 28 Artificial Neural Networks – Architectures and Applications Artificial Neural Networks Figure A 3-layer neural network Notice that there are A + input...

Ngày tải lên: 15/03/2014, 23:20

... (1995) Self- organizing maps Springer, Berlin Kurkova, V (1992) Kolmogorov’s Theorem and Multilayer Neural Networks, Neural Networks, 5, pp 501-506 Lawrence, J (1991) Introduction to Neural Networks, ... 496 Advanced Air Pollution Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according ... Network (MPNN) and the Kohonen neural network (KNN) Both can be replaced by other artificial neural networks for the same purpose, but this does not change the method of using these tools In this...

Ngày tải lên: 29/03/2014, 21:20

... expansion in detail parallelism sparse connectivity self- organization rigor and formality humans 3 3 3 ANN 1 1 1 MMC 3 3 3 3 Describing Artificial Neural Networks with MMC models The Theorem of Universality ... it modifies the MMC itself and is universal As such, and since the MMC is a program [1], SCA can be installed as a part of MMC itself, making the MMC a dynamical system, a self- refactoring MMC ... profile is minimized, giving rise to the self- organizing property of the MMC discussed below In a biological system an object could represent a cell, a neuron, a neural clique, an organ, or an entire...

Ngày tải lên: 28/04/2014, 10:06

... more networks; we can also add new networks to the system to recognize new patterns without change or rebuilt the model All these small networks have reusable capacity to an other multi neural networks ... system can recognize it correctly Figure 3: Convolution neural network with unknown output Figure 4: Recognition System using multi neural networks This solution overcomes almost limits of the ... instead of using a unique big network we can use multi smaller networks which have very high recognition rate to these own output sets Beside the official output sets (digit, letters…) these networks...

Ngày tải lên: 28/04/2014, 10:11

... Narendra K, Parthasarathy K: Identification and control of dynamical systems using neural networks IEEE Trans Neural Networks 1990, 1:4-27 Matsuoka K: Noise injection into inputs in back-propagation ... by a feedforward inverse model and a feedback controller, both implemented using neural networks The training of the networks is conceived to avoid to a therapist and a patient any extra experiment, ... model with a non-linear black-box model, such as an artificial neural network (ANNs) Chang et al [16] proposed a NEUROPID controller composed by a neural network trained to behave as inverse model...

Ngày tải lên: 19/06/2014, 10:20

Ngày tải lên: 19/06/2014, 10:20

... used feedforward and Kohonen networks The other types of artificial neural networks such as recurrent neural network, associative neural network and dynamic neural networks (refer to http://en.wikipedia.org/wiki/Types_of _artificial_ neural_ networks ... manufactured yarn, by using artificial neural networks (ANN) Various leveling action point affecting variables were selected as inputs for training the artificial neural networks, which was aimed ... unsupervised artificial neural networks The classification with features extracted explicitly by image processing is more accurate than with features from unsupervised artificial neural networks...

Ngày tải lên: 20/06/2014, 00:20

... Application of Hui et artificial neural al networks to the prediction of sewing performance of fabrics 30 Selecting Optimal Interlinings with a Neural Network No Title 28 Artificial Neural Networks - Industrial ... Networks No Title 3.5 Seam 32 Predicting Seam performance Performance of Commercial Woven Fabrics Using Multiple Logarithm Regression and Artificial Neural Networks Review of Application of Artificial ... Knitted Journal and classification Fabric Structures using image analysis and neural networks Review of Application of Artificial Neural Networks in Textiles and Clothing Industriec over Last...

Ngày tải lên: 20/06/2014, 00:20

... Prediction of yarn tensile properties by using artificial neural networks Textile Research Journal, Vol.86, No.3., 459-469, ISSN 0040-5175 88 Artificial Neural Networks - Industrial and Control Engineering ... Fabric Properties Using Artificial Neural Network 87 Debnath, S & Madhusoothanan, M (2008) Modeling of compression properties of needlepunched nonwoven fabrics using artificial neural network Indian ... Data Modeling using Classical Models and Neural Networks Chemical Engineering Science, Vol.55, pp 2767-2778, ISSN 0009-2509 Chattopadhyay, R & Guha, A (2004) Artificial Neural Networks: Applications...

Ngày tải lên: 20/06/2014, 00:20

... breakdown spectroscopy using artificial neural networks, Journal of the European Optical Society – Rapid Publications, Vol 3, (March 2008) 08011, ISSN: 19902573 116 Artificial Neural Networks - Industrial ... study Artificial Neural Network; an overview In recent years, Artificial Neural Network (ANN) has been applied in many fields including function approximation and prediction Artificial neural ... ISSN: 08832927 Artificial Neural Networks for Material Identification, Mineralogy and Analytical Geochemistry Based on Laser-Induced Breakdown Spectroscopy 115 Haykin S (1999) Neural Networks: A...

Ngày tải lên: 20/06/2014, 00:20