what you can do to improve health literacy
ADVANCES IN EXPERT SYSTEMS pptx
... significant changes which enable an electric current to appear [6] According to [13], PD can be grouped into classes: • Point to Point discharges in insulating oil: these PDs are related to insulation ... performed in order to apply the methodology to power transformers, but rather to identify partial discharges in any envi‐ ronment where oil is the insulator Therefore, in order to identify the partial ... action However, due to the large number of electric keys (breakers that modify the system’s topology), to variations on the values of loads and to other several factors inherent to an electric power...
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Comparing Association Rules and Decision Trees for Disease Prediction pptx
... and some risk factors These rules had low lift stressing the importance of many other factors to have healthy arteries Summarizing, these experiments show LCX is more likely to be healthy given ... constrained to belong to user-specified groups to eliminate uninteresting value combinations and to reduce the combinatorial explosion of rules Second, attributes are constrained to appear either ... factor attributes did not have any group constraints Since we were after rules relating negative risk factors and low perfusion measurements to healthy arteries, several items were filtered out to...
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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
... Spaces into Fuzzy Regions [ ] Assume that the domain intervals of input variable xi are x i– , x i+ , and that the domain intervals of [y –, y+] Each domain interval can be divided into 2N + regions ... values randomly Step 3: Load the input vector X and the target output vector T of a training example Step 4: Calculate and infer the actual output vector Y (a) Calculate the output vector H of ... not generally used in order to reduce costs and prevent tool breakage due to thermal shock Moreover, the decision to use dry cutting conditions was based on the need to isolate the correlation...
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Neural Networks (and more!)
... parameter situation that makes you feel even worse: you speak with a patient who is terminally ill with a cancer that your system failed to detect You respond to this difficult experience by ... is to set ESUM to zero (line 290) so that it can be used as an accumulator At the end of each iteration, the value of ESUM is printed to the video screen (line 380), so that the operator can ... weights 180 ' 190 FOR H% = TO 10 'SET WEIGHTS TO RANDOM VALUES 200 WO[H%] = (RND-0.5) 'output layer weights: -0.5 to 0.5 210 FOR I% = TO 101 'hidden layer weights: -0.0005 to 0.0005 220 WH[H%,I%]...
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C++ Neural Networks and Fuzzy Logic pptx
... Vendors Consultants Historical Financial Data Vendors Preprocessing Tools for Neural Network Development Genetic Algorithms Tool Vendors Fuzzy Logic Tool Vendors Neural Network Development Tool ... operator >> in C++ when used with cin, the C++ variation of the C language scanf function You can take any operator and overload it But you want to be cautious and not overdo it, and also you ... defined, you can start entering data to be fuzzified As you enter data you see the probability aspect come into play If you enter the same value twice, you may end up with different categories! You...
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perlovsky - neural networks and intellect - using model-based concepts (oxford, 2001)
... From your previous experience, you established the following sell rule: you close your position (that is you 22 Introduction sell all your calls or puts) in one of two cases: you gained 100% or you ... that lead to a conclusion that knowledge has to be given to us a priori, that is inborn I show that this knowledge cannot be given as expert rules similar to the Ideas of Plato, but has to be given ... corresponds to your buying calls and the market moves up, so you make a 100% gain (+1); if instead, the market moves down, you loose 30%, B12 = −0.3 Your probabilities corresponding to the three...
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perlovsky - neural networks and intellect (oxford, 2001)
... From your previous experience, you established the following sell rule: you close your position (that is you 22 Introduction sell all your calls or puts) in one of two cases: you gained 100% or you ... that lead to a conclusion that knowledge has to be given to us a priori, that is inborn I show that this knowledge cannot be given as expert rules similar to the Ideas of Plato, but has to be given ... corresponds to your buying calls and the market moves up, so you make a 100% gain (+1); if instead, the market moves down, you loose 30%, B12 = −0.3 Your probabilities corresponding to the three...
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Báo cáo hóa học: "Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm" pdf
... test rig The rotor is supported on two ball bearings MB 204 with eight rolling elements The rotor was driven with a three-phase AC induction motor through a flexible coupling The motor could be ... accelerometer signal and bearing condition These time-domain data were preprocessed to extract the features, similar to [10], for using them as inputs to the ANNs Half of the first data set was used ... output layers to maintain the outputs close to and The outputs were rounded to binary levels (0 and 1) The MLP was created, trained, and implemented using Matlab neural network toolbox with backpropagation...
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RECURRENT NEURAL NETWORKS AND SOFT COMPUTING pot
... penalty term to the objective function used in the ANN training so as to impose a maximum limit to its output In this research, we adopted the first approach To apply the proposed approach to a particular ... the second one is to generate an approximation to a function usually referred to as modelling In the pattern recognition task the data is placed into one of the sets belonging to given classes ... vector, Xn is the n – dimensional input – stimulus vector, Pu is the system parameters vector, t is the time In order to regard the system as static both the function f and the parameters vector...
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The study of gene and protein vaccines for allergic diseases in mice
... number of β-pleated sheets together with random coil structure It has some similarity to immunologlobulin fold and to the regulatory domains of transglutaminase Der p can easily be produced as ... regulatory cells Regulatory (“suppressor”) T cells were first described in 1971 by Gershon and Kondo who demonstrated their ability to transfer antigen-specific tolerance to naive animals Due to ... APCs through costimulatory molecules such as CD28 and inducible costimulator (ICOS) are also critical regulators (Cua DJ et al., 1996; Constant SL and Bottomly K, 1997; Maldonado-lopez R et al.,...
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Neural networks for modelling and control pdf
... c5330 )C&BX 3U ¤ x 0N0 ^1N y ^2N y ^12 y x 02 x 01 Input Vector ^11 y ^3N y ^22 y ^21 y Hidden layers ^32 y ^31 y Output Vector Q u¦)$AB5&$&(¤2d m h)7U&qsAyA0 E '!0 %#P!# % @' i...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... Algorithm Don’t Cheat Refund Yes No Don’t Cheat Don’t Cheat Refund Refund Yes Yes No Don’t Cheat Single, Divorced Cheat Don’t Cheat Marital Status Married Single, Divorced No Marital Status Married Don’t ... Determine how to split the records • How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitting © Tan,Steinbach, Kumar Introduction to Data Mining ... Determine how to split the records • How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitting © Tan,Steinbach, Kumar Introduction to Data Mining...
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neural networks for instrumentation, measurement and related industrial applications
... "I often say that when you can measure what you are speaking about, and can express it in numbers, you know something about it; but when you cannot express it in numbers your knowledge about it ... software simulators can be adopted (e.g., [39]) In these software simulators, through a graphical interface, the designer can build the neural paradigm to tackle his application; typically he can select ... monitoring, and neural system Feature extraction and prediction by neural networks are relevant tools to monitor and foresee human conditions for advanced health care Neural image analysis can...
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Báo cáo hóa học: " Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks" ppt
... presented The main purpose of this method is to provide an automatic MC detection system that can help radiologists to improve the diagnosis of breast cancer at an early stage The method is based ... with respect to the number of pixels belonging to the healthy or normal tissue class Therefore, balancing between patterns belonging to the MCs class and to the NT class was performed to obtain ... (1997) doi:10.1109/ 4233.640656 18 A Rojas-Domínguez, AK Nandi, Toward breast cancer diagnosis based on automated segmentation of masses in mammograms Pattern Recognit 42(6), 1138–1148 (2009) doi:10.1016/j.patcog.2008.08.006...
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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
... skills However, to the best of our knowledge, there are few papers published on the existence of anti-periodic solutions to neural networks with impulse The main purpose of this paper is to study the ... respectively It is not difficult to show that P and Q are continuous projectors such that Im P Further, let L−1 P Ker L, Im L Ker Q Im I − Q L−1 is given by P L|Dom L∩Ker P and the generalized ... Reich, “Anti-periodic solutions to nonmonotone evolution equations with discontinuous nonlinearities,” Nonlinear Analysis, vol 43, pp 233–251, 2001 17 Y Chen, J J Nieto, and D O’Regan, “Anti-periodic...
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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
... delays Acknowledgments The authors would like to thank the reviewers and the editor for their valuable suggestions and comments which have led to a much improved paper This work was a project supported ... map H : Rn → Rn is a homomorphism of Rn onto itself if H ∈ C , H is one -to- one, H is onto, and the inverse map H −1 ∈ C To prove our result, the following four lemmas are necessary Lemma 2.4 ... delayed BAM neural networks can be found in [8] Most widely studied and used neural networks can be classified as either continuous or discrete Recently, there has been a somewhat new category of neural...
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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
... be used for the automatic measurement and evaluation of a person’s health and heart condition, when he/she is visiting a doctor’s office The automated analysis assists the doctor in faster decision ... lar va e lue ma in) Singular value (frequency domain) 0.8 0.6 0.8 0.2 0.4 0.6 Singular va 0.8 lue (time domain) Young healthy Old healthy Old unhealthy 1 Figure 5: A 3D scattergram for TFM-SV ... matrices: one to store the most elementary statistical parameters of the signal in time domain (Mt) and another one (M f ) to store the most elementary statistical parameters of the frequency domain...
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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
... receiver according to SR vision, and introduces a high level of complexity into the hardware receiver structure A more suitable solution, explored in this paper, is to try to identify, at a lower ... software libraries have to be downloaded from the network [1] The MI problem is faced here in the context of SDR because it is the available technology up to now used to realize the SR paradigm ... of SR and CR because it allows one to support multimode and multiband communications according to SR In general, MI can be blind or assisted [10], and modes can be superimposed in the same band...
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Using biological networks and gene expression profiles for the analysis of diseases
... producing a token in the target gene y with an upregulated value (see figure 2.7) token= x f+ reg ∈ {f+,f-} rules Down f+ y Down f- token=f+() (a) fold-change significance Up Up ... different This motivates us to find a way to improve SNet to achieve high consistency without relying on tuned thresholds We introduce, in PFSNet, two major modifications to the SNet algorithm and ... extracted mRNAs into pieces, and attach short tags to them The tags are hybridized to beads and next-generation sequencing is employed to deduce the transcript that they belong to A quantitative...
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Prevalence and risk factors for refractive errors and their associations with major age related eye diseases in adult singapore indians
... outdoor activity and near work activity spent, children with low outdoor time and high near work were to times more likely to be myopic compared to those performing low near work and high outdoor ... and MMP9), growth factors and growth factor receptors (HGF, TGFB1, TGFB2, and MET), collagens (COL1A1 and COL2A1), and proteoglycans (LUM).109 Mitochondrial-mediated apoptosis 19 as a novel mechanism ... Children………………………………… 1.6 Major Risk Factors for Myopia……………………………………………………12 1.6.1 Outdoor Activities as a Protective Factor for Myopia…………………………12 1.6.2 Near Work as a Risk Factor for Myopia………………………………………...
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