general s workshop on improving health literacy
ADVANCES IN EXPERT SYSTEMS pptx
... generation and systems of transmission, sub-transmission and distribution The transmission system interconnects generating sta‐ tions to large substations located near load centers generally using ... electric transmis‐ sion lines The sub-transmission system distributes energy to an entire district and usually uses aerial electric transmission lines The distribution system transports energy from ... use of both sensor types (dissolved gases and acoustic emissions) in the same study This is probably due to the fact that the cost asso‐ ciated with the acquisition of these sensors is very high...
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Comparing Association Rules and Decision Trees for Disease Prediction pptx
... itemsets Phase produces all rules whose support and confidence are above user-specified thresholds Two of our constraints work on Phase and the other one works on Phase The first constraint is κ, ... being diseased Figure 2: Association 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 ... measure for association rules was introduced in [6] Rule covers [19, 20] and basis [33, 3, 28, 9] are alternatives to get condensed representations of association rules CONCLUSIONS In this work...
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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
... Methodologies Experimental Setup and Design The In-Process Surface Roughness Recognition Systems 16.5 Testing Results and Conclusions 16.1 Introduction Different machining processes produce different ... surface finish is produced The quality of the surface finish, or surface roughness, affects several functional attributes of parts, such as surface friction, wear, reflectivity, heat transmission, ... overall ISRR system capable of extensive application in actual manufacturing environments Feedback control is necessary for automated production systems The ISRR should be a closedloop system, ensuring...
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Neural Networks (and more!)
... false alarms (false-positives) As illustrated in (d), setting the threshold relatively high provides the reverse situation: few false alarms, but many missed targets These analysis techniques ... patterns Conventional DSP is based on two techniques, convolution and Fourier analysis It is reassuring that neural networks can carry out both these operations, plus much more Imagine an N sample signal ... network on this issue; you can't! Recursive Filter Design Chapters 19 and 20 show how to design recursive filters with the standard frequency responses: high-pass, low-pass, band-pass, etc What...
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C++ Neural Networks and Fuzzy Logic pptx
... class, which becomes its base class Then a hierarchy of classes is established, and a sort of parent–child relationship between classes is established The derived class inherits, from the base ... numbers representing analog signals in continuous cases Pattern classification is a form of establishing an autoassociation or heteroassociation Recall that associating different patterns is building ... Inheritance The primary distinction for C++ from C is that C++ has classes Objects are defined in classes Classes themselves can be data items in other classes, in which case one class would be an element...
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perlovsky - neural networks and intellect - using model-based concepts (oxford, 2001)
... Consciousness 392 12.1.2 What Is Consciousness? 393 12.1.3 Consciousness of Bodhisattvas 395 12.1.4 Consciousness versus Unconscious 396 12.1.5 Consciousness versus Emotions 397 12.1.6 Why Is ... PREDICTION, ASSOCIATION, AND NONLINEAR REGRESSION 290 7.1.1 Multidimensional Linear Regression 290 7.1.2 Multidimensional Autoregression 291 7.1.3 Nonlinear General Fuzzy Regression ANS (GFRANS) 292 ... Bayesian hypothesis testing, pattern recognition, estimation, clustering, association, and prediction methods for a single process (regression and autoregression) and for multiple processes (tracking)...
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perlovsky - neural networks and intellect (oxford, 2001)
... Consciousness 392 12.1.2 What Is Consciousness? 393 12.1.3 Consciousness of Bodhisattvas 395 12.1.4 Consciousness versus Unconscious 396 12.1.5 Consciousness versus Emotions 397 12.1.6 Why Is ... PREDICTION, ASSOCIATION, AND NONLINEAR REGRESSION 290 7.1.1 Multidimensional Linear Regression 290 7.1.2 Multidimensional Autoregression 291 7.1.3 Nonlinear General Fuzzy Regression ANS (GFRANS) 292 ... Bayesian hypothesis testing, pattern recognition, estimation, clustering, association, and prediction methods for a single process (regression and autoregression) and for multiple processes (tracking)...
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Báo cáo hóa học: "Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm" pdf
... of sensor location Table shows the classification results for each of the signals x, y, and the resultant z using all input features (1–45) For all classifiers, test success was mostly unsatisfactory ... sets Performance of PNNs with selection of six features In this section, results are presented for PNNs with six features from the corresponding ranges as shown in Tables and The test success ... investigated The effects of number of features and generations on the classification success have been studied The use of six selected features gave 100% test success for most of the cases considered...
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RECURRENT NEURAL NETWORKS AND SOFT COMPUTING pot
... of rules (hidden neurons) and chooses suitable weights and biases constraints Training phase Rule Analysis and Post-Rule-Analysis Processing: The weights are interpreted as fuzzy rules A suitable ... required training repetitions should be assessed Only one single run of a training process is not enough because the obtained model shows only one possible solution, and nothing is really known about ... demonstrates its effectiveness through a case study Section IV shows how it to can be generalized to solve optimization problems An illustrative example is given for this purpose Finally, Section...
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The study of gene and protein vaccines for allergic diseases in mice
... of SIT is well documented by the clear reductions in symptom/medication scores, early and late-phase skin responses, and strongly increased allergen threshold levels in provocation tests (Bousquet ... substantial evidence, many investigators subsequently dismissed the entire concept of suppression as an artifact of the complex and poorly reproducible biologic assays used to demonstrate its ... antibodies, which then attach to mast cells This is the first step in sensitizing the affected tissue Upon repeated exposure, allergens cross-link IgE antibodies on the surface of the mast cells It is...
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Neural networks for modelling and control pdf
... b! ' 80# E S# d ' C S 1P S SP G d#0 S G 0 S1 !0P S# @' S '!0 E 'P d E1 U S# d ' C !1# S E' Vjf ( ( E G y V V d E1 V y r# S ' &3fp1BuC 3$d S &P $A55# 5X)$Ah)&nuBE 7S& 6 s g7E i¦1E¤& ... pAd0a6shgA3B i ¡ 1P S # V U S# d ' C !#00# '0 d S U E! S S 1P S 01 0 8' j Q ( ( r C H 1!! G # E ' S1 SU E1 0 !# 01! U E!1 S S1P S U G @' # U10 E14 d1 E10! ' % S1 !# ... 4# 8' y S# d ' C S1 P S '0 d#0P# E E 'P E1 @' # # 0 '0 d#0 S# ! S0 P# d #P1 % U 01!# % # 0 @ ' E U#! S 1P S @ ' ! 1# SH E ' E # V d#0 S# !! 'P S #! S# d ' C S 1P S # 0...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... function of the values of other attributes Goal: previously unseen records should be assigned a class as accurately as possible – A test set is used to determine the accuracy of the model Usually, ... Introduction to Data Mining 21 Splitting Based on Nominal Attributes Multi-way split: Use as many partitions as distinct values CarType Family Luxury Sports Binary split: Divides values into two subsets ... Attributes Multi-way split: Use as many partitions as distinct values Size Binary split: {Small, Medium} Small Large Medium Divides values into two subsets Need to find optimal partitioning Size...
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neural networks for instrumentation, measurement and related industrial applications
... applications, encompassing intelligent sensors and acquisition systems, system models, signal processing, image processing, automatic control systems, and diagnosis 1.2 The scientific and application ... applications 3.1 Introduction to intelligent measurement systems for industrial applications The conventional sensors, instrumentation, and measurement systems are based on dedicated components with some ... application system is vital, e.g., in embedded systems for telecommunication In several cases, these constraints set conflicting goals for the design process: the final solution needs therefore...
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Báo cáo hóa học: " Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks" ppt
... non-supervised pattern classification into groups or classes The partitional clustering techniques are based on cluster analysis, which is the organization of a set of patterns (vector of measurements ... of more representative regions, which in this case is two: suspicious region with the presence of the MCs (S1 ) and normal tissue (S2 ); the S2 region is considered to be devoid of MCs Run the PFCM ... ANN is used, with the aim of classifying patterns such as those that correspond to pixels belonging to healthy tissue or patterns that correspond to pixels belonging to microcalcifications, which...
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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
... is also provided to illustrate the effectiveness of the main results in Sections and The conclusions are drawn in Section Preliminaries In this section, we will first recall some basic definitions ... Inequalities and Applications Hence H10 holds By Theorems 3.1 and 4.1, system 5.1 has at least one exponentially stable π-anti-periodic solution This completes the proof Conclusions Using the time scales ... Dynamic Equations on Time Scales, Birkh¨ user, Boston, Mass, a USA, 2003 33 V Lakshmikantham and A S Vatsala, “Hybrid systems on time scales,” Journal of Computational and Applied Mathematics, vol 141,...
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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
... discrete systems [13] Impulses can make unstable systems stable, so they have been widely used in many fields such as physics, chemistry, biology, population dynamics, and industrial robotics Some ... ji are constants, and denote the connection strengths; smooth functions Dik = Dik (t,x) ≥ and D∗ = D∗ (t,x) ≥ correspond to the transmission diffusion operator jk jk along the ith neurons from ... Q Song and J Cao 17 References [1] B Kosko, “Bidirectional associative memories,” IEEE Transactions on Systems, Man, and Cybernetics, vol 18, no 1, pp 49–60, 1988 [2] J Cao and Q Song, “Stability...
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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
... employ neurons that consist of radial basis functions In contrast to classic multilayer perceptrons, the activation of a neuron is not given by the weighted sum EURASIP Journal on Advances in Signal ... testing net Class Class Class Overall SBJ1 SBJ2 SBJ1 SBJ2 SBJ1 SBJ2 Class 83% 90% — — — — Class 17% 10% 67% 84% 100% 49% Class — — 33% 16% 0% 51% Overall 73% using the MLP network This means ... analysis which is able to give results similar to results of the wavelet transform Our suggestion is to form two matrices: one to store the most elementary statistical parameters of the signal...
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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
... paper is organized as follows: in Section 2, the problem statement explaining the reason for using an MI module is presented In Section 3, the necessity for TF analysis is discussed The proposed ... Identification Received signal Transduce 1781 Features extraction Preprocessing Classification Baseband reconfigurable processing (a) Received signal RF stage ADC TF Analysis Features extraction Classification ... classifiers and the two TF distributions The only noise class is always correctly classified Instead, the case of Bluetooth (BT) classification is depicted in Figures 7a and 7b In Figure 7a, the SVM...
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Using biological networks and gene expression profiles for the analysis of diseases
... biologists further insights to the mechanisms behind the diseases studied This work is important because the subnetworks identified, being consistent across independent datasets, also serve as informative ... Equation ORA Overlap Representation Analysis PCA Principle Component Analysis PFSnet Paired Fuzzy Subnetworks SAM Significance Analysis of Microarrays SRI System Response Inference SVM Support ... subnetworks in datasets with extremely small sample sizes” The batch effect presented earlier suggests that gene-expression values not make good feature scores for diagnosis of diseases This motivates...
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Prevalence and risk factors for refractive errors and their associations with major age related eye diseases in adult singapore indians
... examination Only three population-based studies assessed this association with inconsistent results The Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR) demonstrated that myopia was not ... In addition, although the associations of refractive error and other ocular diseases have been assessed, few population-based studies have assessed whether these observed associations were explained ... association between hyperopia and AMD in cross-sectional designs.138-139 However, evidences from longitudinal population-based data have not supported this cross-sectional association The U.S...
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