neural networks and decision trees for eye diseases diagnosis

ADVANCES IN EXPERT SYSTEMS pptx

ADVANCES IN EXPERT SYSTEMS pptx

... dos Santos and Alexandre Rocco Section Research Applications 61 Chapter Neural Networks and Decision Trees For Eye Diseases Diagnosis 63 L G Kabari and E O Nwachukwu Chapter Heuristics for User ... Takagi-Sugeno and Mamdani 5.2 Artificial neural networks Artificial neural networks are computational models inspired by the human brain, which can acquire and retain knowledge Among the various neural ... answers to help in the decision- making process about the power transformer analyzed Internal Faults in Transformers The diagnosis of the status and operating conditions of transformers is of fundamental...

Ngày tải lên: 05/03/2014, 21:21

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Comparing Association Rules and Decision Trees for Disease Prediction pptx

Comparing Association Rules and Decision Trees for Disease Prediction pptx

... rules for diseased arteries 4.4 Predictive Rules from Decision Trees In this section we explain experiments using decision trees We used the CN4.5 decision tree [14] algorithm using gain ratio for ... build height-unrestricted trees decision trees tend to find complex and long rules, making rule applicability and interpretation difficult Also, in such case decision trees find few predictive rules ... x, Ai > x) and set containment for categorical variables (Aj ∈ {x, y, z}) and a predicted value c for class C In general decision trees have reasonable accuracy and are easy to interpret if the...

Ngày tải lên: 27/06/2014, 21:20

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Tài liệu Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations pptx

Tài liệu Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations pptx

... neural networks (ANN) and fuzzy neural (FN) systems An overview of these two approaches follows in the next section 16.2.1 Neural Networks Model Several learning methods have been developed for ... Equation (16.15) and then assigned a fuzzy membership function The divisions of the input and output spaces are shown in Figure 16.1, where N is for x1, and for x2 and y The width for each variable ... important and may be required for further development of ISRR technology for the next century References Armarego, E J A and Deshpande, N P., 1989, Computerized predictive cutting models for forces...

Ngày tải lên: 23/01/2014, 01:20

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Neural Networks (and more!)

Neural Networks (and more!)

... FIGURE 26-11 Neural network performance These are histograms of the neural network's output values, (a) for the training data, and (b) for the remaining images The neural network performs better ... biological and nonbiological systems Chapter 26- Neural Networks (and more!) 459 Neural network research is motivated by two desires: to obtain a better understanding of the human brain, and to ... of information For instance, there might be outputs for: submarine (yes/no), whale (yes/no), undersea mountain (yes/no), etc Chapter 26- Neural Networks (and more!) 461 x1 x2 FIGURE 26-6 Neural...

Ngày tải lên: 13/09/2012, 09:50

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C++ Neural Networks and Fuzzy Logic pptx

C++ Neural Networks and Fuzzy Logic pptx

... network, one of them for pattern recognition Neural networks can be used for problems that can’t be solved with a known formula and for problems with incomplete or noisy data Neural networks seem to ... Fuzziness in Neural Networks Code for the Fuzzifier Fuzzy Control Systems Fuzziness in Neural Networks Neural Trained Fuzzy Systems Summary Chapter 4—Constructing a Neural Network First Example for C++ ... Turning Point Predictor The S&P 500 and Sunspot Predictions A Critique of Neural Network Time−Series Forecasting for Trading Resource Guide for Neural Networks and Fuzzy Logic in Finance Magazines...

Ngày tải lên: 23/03/2014, 22:21

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perlovsky - neural networks and intellect - using model-based concepts (oxford, 2001)

perlovsky - neural networks and intellect - using model-based concepts (oxford, 2001)

... NEURAL NETWORKS AND INTELLECT This page intentionally left blank NEURAL NETWORKS AND INTELLECT Using Model-Based Concepts Leonid I Perlovsky New York • Oxford OXFORD UNIVERSITY PRESS 2001 Oxford ... Maximum Information and Maximum Entropy Estimation 185 4.4.10 Likelihood, Information, Ergodicity, and Uncertainty 186 4.4.11 Forward and Inverse Problems 186 4.5 MODELING FIELD THEORY NEURAL ARCHITECTURE ... CRB FOR MLANS 339 9.3.1 CRB for Prior Rates 339 9.3.2 CRB for Means 341 9.3.3 CRB for Covariances 341 9.3.4 MLANS Performance vs CRB: Example Continuation 9.4 CRB FOR CONCURRENT ASSOCIATION AND...

Ngày tải lên: 03/04/2014, 12:09

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perlovsky - neural networks and intellect (oxford, 2001)

perlovsky - neural networks and intellect (oxford, 2001)

... NEURAL NETWORKS AND INTELLECT This page intentionally left blank NEURAL NETWORKS AND INTELLECT Using Model-Based Concepts Leonid I Perlovsky New York • Oxford OXFORD UNIVERSITY PRESS 2001 Oxford ... Maximum Information and Maximum Entropy Estimation 185 4.4.10 Likelihood, Information, Ergodicity, and Uncertainty 186 4.4.11 Forward and Inverse Problems 186 4.5 MODELING FIELD THEORY NEURAL ARCHITECTURE ... CRB FOR MLANS 339 9.3.1 CRB for Prior Rates 339 9.3.2 CRB for Means 341 9.3.3 CRB for Covariances 341 9.3.4 MLANS Performance vs CRB: Example Continuation 9.4 CRB FOR CONCURRENT ASSOCIATION AND...

Ngày tải lên: 03/04/2014, 12:09

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Báo cáo hóa học: "Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm" pdf

Báo cáo hóa học: "Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm" pdf

... [13] C M Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, England, UK, 1995 [14] K Hornik, M Stinchcombe, and H White, “Multilayer feedforward networks are universal ... was 95.83%–100% for MLPs, 87.50%–100% for RBFs, and 100% for PNNs The classification error was of type FNR with MLPs and RBFs Features selected for different schemes are also shown for comparison ... and R B Randall, “Differential diagnosis of gear and bearing faults,” Transactions of the ASME: Journal of Vibration and Acoustics, vol 124, no 2, pp 165–171, 2002 [7] A C McCormick and A K Nandi,...

Ngày tải lên: 23/06/2014, 01:20

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RECURRENT NEURAL NETWORKS AND SOFT COMPUTING pot

RECURRENT NEURAL NETWORKS AND SOFT COMPUTING pot

... minimal and maximal values for all approximated points The first band is therefore obtained and bordered by the upper and lower boundaries 13 Neural Networks and Static Modelling Perform the ... 22 Recurrent Neural Networks and Soft Computing Wray, J., Green, G.G.R (1994) Neural Networks, Approximation Theory and Finite Precision Computing Neural Networks (1) A Framework for Bridging ... models), for example, searches for the best fit of the given data to the known function which represents the model Neural networks can be divided into dynamic and static neural (feedforward) networks, ...

Ngày tải lên: 27/06/2014, 00:20

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The study of gene and protein vaccines for allergic diseases in mice

The study of gene and protein vaccines for allergic diseases in mice

... Wah and Mr Tan Tsu Soo I am most grateful to my dearest husband, Kenny, for showering me with great concern and all those endless motivation in the course of my study I truly appreciate him for ... for being so understanding Also to my dearest baby, Ryan, for adding bundles of joys during the period of my thesis write up To my parents, thank you for being so understanding and supportive I ... for allergic diseases, but the underlying mechanisms for the efficacy remain elusive The conventional allergen-specific immunotherapy for allergy has been conducted with allergenic proteins and...

Ngày tải lên: 14/09/2015, 14:20

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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

... Memory based reasoning Neural Networks Naïve Bayes and Bayesian Belief Networks Support Vector Machines © Tan,Steinbach, Kumar Introduction to Data Mining Example of a Decision Tree l l s ca ... NO > 80K YES Introduction to Data Mining 14 Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining 15 Decision Tree Induction Many Algorithms: – Hunt’s ... 34 Categorical Attributes: Computing Gini Index For each distinct value, gather counts for each class in the dataset Use the count matrix to make decisions Two-way split (find best partition of...

Ngày tải lên: 15/03/2014, 09:20

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neural networks for instrumentation, measurement and related industrial applications

neural networks for instrumentation, measurement and related industrial applications

... bearings Neural networks in manufacturing Neural networks for bearing fault diagnosis Conclusions Neural Networks for Measurement and Instrumentation in Robotics, Mel Siegel Instrumentation and measurement ... the neural networks for sensors and measurement systems, for identification in instrumentation and measurement, for instrumentation and measurement dedicated to system and plant control, and for ... practical issues Case studies: neural networks for instrumentation and measurement systems in robotic applications in research and industry Neural Networks for Measurement and Instrumentation in Laser...

Ngày tải lên: 03/06/2014, 01:04

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Báo cáo hóa học: " Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks" ppt

Báo cáo hóa học: " Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks" ppt

... train and test our classifiers: 80% of the patterns were used for training, and 20% of the patterns were used for testing (see Table 3) Table shows the optimal network structure and parameters for ... Conference on Industrial Informatics, INDIN, pp 510–515 (2009) Page 11 of 11 37 D Andina, J Sanz-Gonzalez, On the problem of binary detection with neural networks, in Circuits and Systems Proceedings, ... considered for image segmentation, because of the great similarity between segmentation and clustering, although clustering was developed for feature space, whereas segmentation was developed for the...

Ngày tải lên: 20/06/2014, 22:20

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Báo cáo hóa học: " Research Article Existence and Stability of Antiperiodic Solution for a Class of Generalized Neural Networks with Impulses and Arbitrary Delays on Time Scales" ppt

Báo cáo hóa học: " Research Article Existence and Stability of Antiperiodic Solution for a Class of Generalized Neural Networks with Impulses and Arbitrary Delays on Time Scales" ppt

... impulses and arbitrary delays This class of generalized neural networks include many continuous or discrete time neural networks such as, Hopfield type neural networks, cellular neural networks, ... Cohen-Grossberg neural networks, and so on To the best of our knowledge, the known results about the existence of anti-periodic solutions for neural networks are all done by a similar analytic method, and ... Hopfield neural networks with impulses and delays,” Journal of Computational and Applied Mathematics, vol 224, no 2, pp 602–613, 2009 K Li, “Stability analysis for impulsive Cohen-Grossberg neural networks...

Ngày tải lên: 21/06/2014, 07:20

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Báo cáo hóa học: " Research Article Exponential Stability for Impulsive BAM Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms" doc

Báo cáo hóa học: " Research Article Exponential Stability for Impulsive BAM Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms" doc

... reported, for example, see [2–12] and references therein The circuits diagram and connection pattern implementing for the delayed BAM neural networks can be found in [8] Most widely studied and used neural ... Solitons and Fractals, vol 29, no 2, pp 446–453, 2006 [13] Z.-H Guan and G Chen, “On delayed impulsive Hopfield neural networks, ” Neural Networks, vol 12, no 2, pp 273–280, 1999 [14] Z Yang and D ... recurrent neural networks with time delays,” IEEE Transactions on Circuits and Systems I, vol 52, no 5, pp 920–931, 2005 [28] Q Zhang, X Wei, and J Xu, “New stability conditions for neural networks...

Ngày tải lên: 22/06/2014, 19:20

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Báo cáo hóa học: " Research Article Applying Novel Time-Frequency Moments Singular Value Decomposition Method and Artificial Neural Networks for Ballistocardiography" docx

Báo cáo hóa học: " Research Article Applying Novel Time-Frequency Moments Singular Value Decomposition Method and Artificial Neural Networks for Ballistocardiography" docx

... part of the data for training artificial neural networks (500 BCG cycles used for MLP nets and 300 BCG for RBF nets) and the rest of the data (2000 BCG cycles) for testing the performance of the ... data for training and testing the system On the other hand, in this study there were no excluded subjects for testing and we used the same subjects for both training and testing the MLP and RBF neural ... weights, and stigma RESULTS To demonstrate the performance of our approaches and to compare results, we used MLP (two hidden layers with 15 and 10 neurons relatively) and RBF neural networks...

Ngày tải lên: 22/06/2014, 23:20

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Báo cáo hóa học: " Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach" pptx

Báo cáo hóa học: " Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach" pptx

... frequency, are reported For the trials, a power class three [17] for Bluetooth and a 25 mW power level for WLAN are considered [16] Bit rate equal to Mbps for Bluetooth and 11 Mbps for IEEE 802.11b ... distribution [13] and the CW distribution [27] Both have advantages and disadvantages as explained below The WV distribution is the prototype for all TF transforms, and is the most widely used and the ... Wigner-Ville (WV) and the Choi-Williams (CW) transforms [13], are applied Moreover, two kinds of neural classifiers are adopted: a simple feedforward network based on back propagation and a support...

Ngày tải lên: 23/06/2014, 01:20

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Using biological networks and gene expression profiles for the analysis of diseases

Using biological networks and gene expression profiles for the analysis of diseases

... have expedited and resulted in many ideas in this thesis I thank Prof Choi Kwok Pui, for his insights and knowledge in statistics I thank Prof Ken Sung and Prof Thiagu, for reading and listening ... microarray platforms but is also able to handle small-size training samples This enables researchers to find the mechanisms behind a disease and use them directly as a tool for diagnosis and prognosis ... discuss how subnetworks described in (1) and (2) can be used for diagnosis purpose Finally, in chapter 6, we summarize our work and propose some future work Chapter Related Work and Definitions...

Ngày tải lên: 09/09/2015, 10:15

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Prevalence and risk factors for refractive errors and their associations with major age related eye diseases in adult singapore indians

Prevalence and risk factors for refractive errors and their associations with major age related eye diseases in adult singapore indians

... Cheung and Ms Lin Xiao-Yu In addition, the current and past clinical and administrative staffs of the Singapore Indian Eye Study is greatly appreciated for their hard work in recruitment and collection ... Grade in Andhra Pradesh Eye Disease Study and Singapore Indian Eye Study………………………………………………………….149 Table 23 Means of Ocular Biometric Parameters by Age and Gender in the Singapore Indian Eye Study………………………………………………………….150 ... Flowchart for the Singapore Indian Eye Study………… 198 Figure Final Response for the Singapore Indian Eye Study…………………… 199 Figure 10 Age and Gender Distribution of the Singapore Indian Eye Study…….200...

Ngày tải lên: 09/09/2015, 10:21

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