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ADVANCES IN EXPERT SYSTEMS pptx

ADVANCES IN EXPERT SYSTEMS pptx

Ngày tải lên : 05/03/2014, 21:21
... Filho, Alexandre Shozo Onuki, Luís Fernando Pompeo Ferrara, Maurício Conceição Mário, José de Melo Camargo, Dorotéa Vilanova Garcia, Marcos Rosa dos Santos and Alexandre Rocco Additional information ... diagnosis of the status and operating conditions of transformers is of fundamental impor‐ tance in the reliable and economic operation of electric power systems The aging and wear and tear of transformers ... sensors and allocated on the wall would be more sensitive in experiment rather than in experiments and From Figures 14 and 15 it is possible to observe the energy response supplied by sensors and...
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Comparing Association Rules and Decision Trees for Disease Prediction pptx

Comparing Association Rules and Decision Trees for Disease Prediction pptx

Ngày tải lên : 27/06/2014, 21:20
... vessels The LAD, RCA, LCX and LM numbers represent the percentage of vessel narrowing (stenosis) compared to a healthy artery Attributes LAD, LCX and RCA were binned at 50% and 70% In cardiology ... (warning) and 250 (high) AGE was binned at 40 (adult) and 60 (old) Finally, only the four artery attributes (LAD, RCA, LCX, LM) had negation to find rules referring to healthy patients and sick ... certain risk factors and both the RCA and LAD arteries The rules with RCA have very high lift pointing to specific relationships between this artery and cholesterol level and the IS region It...
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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

Ngày tải lên : 23/01/2014, 01:20
... produced by end milling Armarego and Deshpande [1989] presented one more milling process geometry model that incorporates cutter runout to predict cutting forces Sutherland and Babin [1985] demonstrated ... surfaces exhibit interrelated characteristics of both random and deterministic components Zhang and Kapoor [1991] demonstrated the effect of random vibrations on surface roughness in the turning ... parameters Step 2: Read the weight matrix W_xh and W_hy, and the bias vector θ_h and θ_y Step 3: Load the input vector X of a testing example Step 4: Calculate and infer the actual output Y (a) Calculate...
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Neural Networks (and more!)

Neural Networks (and more!)

Ngày tải lên : 13/09/2012, 09:50
... understanding of the human brain, and to develop computers that can deal with abstract and poorly defined problems For example, conventional computers have trouble understanding speech and recognizing ... However, most scientists and engineers are not this formal and use the term neural network to include both biological and nonbiological systems Chapter 26- Neural Networks (and more!) 459 Neural ... the input layer, and the information propagated to the output This means that the values for: X1[ ], X2[ ] and X3 are all specified, as well as the current weight values: WH[ , ] and WO[ ] In addition,...
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C++ Neural Networks and Fuzzy Logic pptx

C++ Neural Networks and Fuzzy Logic pptx

Ngày tải lên : 23/03/2014, 22:21
... readers’ suggestions and included more explanations and material, as well as updated the material with the latest information and research We have also corrected errors and omissions from the ... Neural Networks and Fuzzy Logic:Preface Self−Organization Learning Vector Quantizer Associative Memory Models and One−Shot Learning Learning and Resonance Learning and Stability Training and Convergence ... Rohini and Pranav for their patience and understanding through many lost evenings and weekends Table of Contents Copyright © IDG Books Worldwide, Inc Dedication 13 C++ Neural Networks and Fuzzy...
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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)

Ngày tải lên : 03/04/2014, 12:09
... concepts of statistics and information theory: Bayesian likelihood and Shannon’s information The principle of similarity maximization, and in particular maximization of likelihood and information, is ... Ensemble 176 4.4.4 Einsteinian Likelihood and Shannon’s Mutual Information 177 4.4.5 Information and Alternative Choice States 177 4.4.6 Mutual Model-Data Information 179 4.4.7 Shannon–Einsteinian ... 4.4.9 Historical Roots of 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...
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perlovsky - neural networks and intellect (oxford, 2001)

perlovsky - neural networks and intellect (oxford, 2001)

Ngày tải lên : 03/04/2014, 12:09
... concepts of statistics and information theory: Bayesian likelihood and Shannon’s information The principle of similarity maximization, and in particular maximization of likelihood and information, is ... Ensemble 176 4.4.4 Einsteinian Likelihood and Shannon’s Mutual Information 177 4.4.5 Information and Alternative Choice States 177 4.4.6 Mutual Model-Data Information 179 4.4.7 Shannon–Einsteinian ... 4.4.9 Historical Roots of 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...
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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

Ngày tải lên : 23/06/2014, 01:20
... 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, ... features and one variable parameter related to the particular classifier: the number of neurons in the hidden layer for MLPs and the width (σ) for RBFs and PNNs Different mutation, crossover, and selection ... population and X and Y denote the new individuals (offsprings) 5.3.1 Mutation In this work, nonuniform-mutation function [26] was used It randomly selects one element xi of the parent X and modifies...
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RECURRENT NEURAL NETWORKS AND SOFT COMPUTING pot

RECURRENT NEURAL NETWORKS AND SOFT COMPUTING pot

Ngày tải lên : 27/06/2014, 00:20
... providing sufficient background information, training and testing against other methods, MLP and PSNN We hope this book will be of value and interest to researchers, students and those working in the ... Abouelseoud1 and Amin Shoukry2 2Computer 1Alexandria University Science and Eng Dept, Egypt-Japan University of Science and Technology (EJUST), Alexandria, Egypt Introduction FRS (Fuzzy Rule Systems) and ... and set the 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...
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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

Ngày tải lên : 14/09/2015, 14:20
... (CD11a and CD54) and accessory molecules (CD40, CD80 and CD86) (Steinman RM, 1997) DCs in culture exist in two functional and phenotypically distinct states, immature and mature (Mellman I and Steinman ... 2000) and Cytokines and transcription factors that exert potent influences on the efficiency of Th1 and Th2 development (Le Gros G et al., 1990; Paul WE and Seder RA, 1994; Glimcher LH and Singh ... (Colloff MJ and Stewart GA, 1997) Group allergens belong to the cysteine group of proteolytic enzymes that include the mammalian enzymes cathepsin B and H and the plant enzymes actinidin and papain...
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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

Ngày tải lên : 15/03/2014, 09:20
... Classification Underfitting and Overfitting Missing Values Costs of Classification © Tan,Steinbach, Kumar Introduction to Data Mining 50 Underfitting and Overfitting (Example) 500 circular and 500 triangular ... distributed among all classes, implying least interesting information – Minimum (0.0) when all records belong to one class, implying most interesting information C1 C2 Gini=0.000 © Tan,Steinbach, Kumar ... – Class counts in each of the partitions, A < v and A ≥ v Simple method to choose best v – For each v, scan the database to gather count matrix and compute its Gini index – Computationally Inefficient!...
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neural networks for instrumentation, measurement and related industrial applications

neural networks for instrumentation, measurement and related industrial applications

Ngày tải lên : 03/06/2014, 01:04
... for sensors and measurement systems, for identification in instrumentation and measurement, for instrumentation and measurement dedicated to system and plant control, and for signal and image processing ... confidence and understanding as well as to know and appreciate new possible partners and to create long lasting friendships and cooperations All of the above will be useful for positive globalization and ... most relevant and original aspect of NIMIA'2001, never really and in-depth afforded in other meetings, conferences, and academic programs The international interest of the scientific and industrial...
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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

Ngày tải lên : 20/06/2014, 22:20
... http://asp.eurasipjournals.com/content/2011/1/91 which generally appear in a group of just a few patterns (pixels), and the remaining clusters correspond to normal (healthy) tissue The initial conditions and ... matrix T and threshold values of a = (c) 0.04, (d) 0.03, (e) 0.02 5.2.4 Feature extraction Two window-based features, such as the mean and standard deviation defined in Equations 18 and 19, respectively, ... importance of membership and typicality values in the computation of the prototypes, respectively The parameters m and h represent the absolute weight of the membership value and typicality value,...
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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

Ngày tải lên : 21/06/2014, 07:20
... 2004 Y K Li and Z Xing, “Existence and global exponential stability of periodic solution of CNNs with impulses,” Chaos, Solitons and Fractals, vol 33, no 5, pp 1686–1693, 2007 Y K Li and L Lu, ... 213–218, 2009 J Zhang and Z Gui, “Existence and stability of periodic solutions of high-order Hopfield neural networks with impulses and delays,” Journal of Computational and Applied Mathematics, ... even if the time scale T R or Z and are of great significance in designs and applications of globally stable anti-periodic Cohen-Grossberg neural networks with delays and impulses Acknowledgment...
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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

Ngày tải lên : 22/06/2014, 19:20
... respectively; τi j (t) and σ ji (t) correspond to the transmission delays and satisfy ≤ τi j (t) ≤ τi j and ≤ σ ji (t) ≤ σ ji (τi j and σ ji are constants); and b j are positive constants, and denote the ... jth neurons from FV and the ith neurons from FU at time t and in space x, respectively; αi and β j are constants, and denote the external inputs on the ith neurons from FU and the jth neurons ... ∈ Rm ; ui (t,x) and v j (t,x) are the state of the ith neurons from the neural field FU and the jth neurons from the neural field FV at time t and in space x, respectively; f j and gi denote the...
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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

Ngày tải lên : 22/06/2014, 23:20
... 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 ... categories, which takes time and more investigations The more developed system and analysis method could be used for the automatic measurement and evaluation of a person’s health and heart condition, ... essential information of a matrix, somewhat similarly as the eigenvalues A singular value and the corresponding singular vectors of a rectangular matrix A are a scalar σ and a pair of vectors u and...
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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

Ngày tải lên : 23/06/2014, 01:20
... fundamental and integrating part 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 ... and discussed As a case study, two standards are considered: WLAN 802.11b [16] and Bluetooth [17] The choice of these two standards stems from three factors: first, they are based on DS-CDMA and ... standards using SS modes and superimposed in the same bandwidth at 2.4 GHz are considered: IEEE 802.11b and Bluetooth [16, 17] As explained above, they are employed for transmission the ISM band...
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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

Ngày tải lên : 09/09/2015, 10:15
... S2 is randomly distributed and scores poorly, and S3 is not enriched 23 at the top of the list but is nonrandom, so it scores well Arrows show the location of the maximum enrichment score and the ... 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 Contents ... x2 se (2.6) where x1 and x2 denote the mean gene-expression value for the two classes respectively and se refers to the standard error of the difference between two means and has different forms...
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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

Ngày tải lên : 09/09/2015, 10:21
... prevalence of myopia was 4.7%, 7.0% and 10.8% in 5, 10 and 15 year-olds, respectively On the other hand, the prevalence of myopia was 2.8%, 4.1% and 6.7% in 7, 10 and 15-year-olds, respectively in ... Caribbean and 70 white European children aged 6-7 years and 114 South Asian, 40 black African Caribbean and 115 white European children aged 12-13 years and found that myopia prevalence was 9.4% and ... as AL and CR Understanding the inter-relationship between refraction and ocular biometry may help to explain the trends and patterns of refractive errors observed in different populations and ethnicities...
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