c examples and neural network submodels
Automatic text extraction using DWT and Neural Network
Ngày tải lên :
05/11/2012, 14:51
... demonstrate the efficiency of the proposed method Finally, we conclude in section Feature extraction Candidate text extraction using Neural Network Text regions extraction results Figure Flow chart of the ... Datong Chen, Bourlard H., Thiran J -P., “Text Identification in Complex Background Using SVM,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001 CVPR 2001 Proceedings ... detail component sub-bands Finally, the well trained neural network is ready to extract the real text regions In this subsection, text extraction from static image or video sequences is accomplished...
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FUZZY CONTROL AND NEURAL NETWORK
Ngày tải lên :
12/04/2014, 10:53
... giá trị định m c nhiều lần;thay đổi giá trị đặt kh c giá trị Kp, Ki kh c cho kết c c xấu Chứng tỏ điều chỉnh PID gần “bất l c với đối tượng phi tuyến Bộ điều khiển mờ Nguyên t c tổng hợp điều ... diện FIS Chọn vùng sai lệch E Udk hình Hình C c vùng sai lệch E SV : NGUYỄN TÀI TỈNH SHSV: 20092747 _LỚP: ĐK&TĐH5-K54 Hình C c vùng Udk Tạo luật điều khiển theo ngun t c hợp thành chọn phía ... = = 10 u c u đặt l c phải thiết kế điều chỉnh R cho kích thích đầu vào thu đầu giá trị tương ứng.Phương pháp dùng điều khiển PID tuyến tính kinh điển áp dụng trường hợp nhiều hạn chế chí khơng...
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facial expression using pca and neural network
Ngày tải lên :
28/04/2014, 10:06
... Classification Accuracy % 73.3% 83% 85.71% This method (Canny_PCA_ANN) improved the Classification Accuracy than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression ... Rapid Facial Expression Classification Using Artificial Neural Networks [10] Facial Expression Classification Using Multi Artificial Neural Network [11] Proposal Method (Canny_PCA_ANN) Classification ... neutral FACIAL EXPRESSION CLASSIFICATION PRECISION Correct Classifications 9/10 8/10 9/10 9/10 8/10 9/10 8/10 Classification Accuracy % 90 80 90 90 80 90 80 The average facial expression classification...
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Báo cáo hóa học: " Research Article Cardiac Arrhythmias Classification Method Based on MUSIC, Morphological Descriptors, and Neural Network" doc
Ngày tải lên :
21/06/2014, 22:20
... the course of preprocessing Conventionally, ECG signal is measured on static condition since various types of noise including muscle artifact and electrode moving artifact are coupled in dynamic ... probabilistic neural network (PNN) and a back-propagation neural network, as classifiers Jekova et al [7] present a comparative study of the learning capacity and the classification abilities of four classification ... quadratic, and logistic discriminants as ECG classifiers In this paper, we evaluate the ability of multiple signal classification (MUSIC), morphological descriptor, and neural networks classifier...
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Modeling the chemotaxis behaviors of c elegans using neural network from artificial to biological approach
Ngày tải lên :
10/09/2015, 09:12
... Turning rate C Food or toxin concentration Cmax Maximum concentration of food or toxin Cmax,f Maximum concentration of food Cf Concentration of food Ctx Concentration of toxin Clef t Concentration ... toxin concentration difference between left side and right side ∆Ctp Temporal concentration difference between two consecutive steps ∆Cf,tp Temporal food concentration difference between two consecutive ... concentration on the right side C Food or toxin concentration ∆Ctp (t) Temporal concentration difference for food or toxin between t and t − Cf (t) Food concentration at time t Ctx (t) Toxin concentration...
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Adaptive control and neural network control of nonlinear discrete time systems
Ngày tải lên :
14/09/2015, 08:39
... zone, backlash and hysteresis, which are common in actuator and sensors such as mechanical connections, hydraulic actuators and electric servomotors The existence of these constraints in control ... is constructed such that asymptotic tracking performance can be achieved By proper incorporating discrete Nussbaum gain, the adaptive control becomes insensitive to system control directions and ... adaptive control 1.2.1 Background of neural network Inspired by the biological NN that consist of a number of simple processing neurons interconnected to each other, McCulloch and Pitts introduced...
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Tài liệu Neural Network Applications to Manufacturing Processes: Monitoring and Control pptx
Ngày tải lên :
25/12/2013, 19:15
... the actual pool size with satisfactory accuracy, which in this case is the controlled one ©2001 CRC Press LLC 12.6.3 Semiconductor Manufacturing Semiconductor manufacturing processes typically ... functionalities that accommodate the manufacturing-speci c physical nature by enhancing the structure, learning algorithm, and convergency properties of the currently used ©2001 CRC Press LLC networks ... dynamic characteristics of most of the manufacturing processes are not exactly known For this reason, neural networks come into play to learn the process characteristics and generate appropriate controller...
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Tài liệu Fuzzy Neural Network and Wavelet for Tool Condition Monitoring ppt
Ngày tải lên :
23/01/2014, 01:20
... universally successful due to the complex nature of the machining processes These methods have been classified into direct (optical, radioactive, and electrical resistance, etc.) and indirect (acoustic emission ... deformation during the cutting process in the workpiece Plastic deformation in the chip Friction contact between the tool flank face and the workpiece resulting in flank wear Friction contact between the ... Machining by Fuzzy Neural Networks, in Dynamic Systems and Control, (vol 2) American Society of Mechanical Engineers, Dynamic Systems and Control Division, vol 55, no 2, pp 1019-1034 13 Daubechies,...
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network programming .net with c sharp and vb.net 2004
Ngày tải lên :
17/04/2014, 09:17
... Asymmetric encryption Using RSA as asymmetric encryption Symmetric encryption 8.6.1 Using 3DES as symmetric encryption 8.7 Piracy protection 8.8 Conclusion Controlling User Access: Authentication and ... email client on their computers The next five chapters discuss network application design This includes application security, performance, and scalability Contained within these chapters is practical, ... fileContents; AsyncCallback callback; private void btnReadAsync_Click(object sender, System.EventArgs e) { openFileDialog.ShowDialog(); 2.2 Streams 23 callback = new AsyncCallback(fs_StateChanged); fs...
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a facial expression classification system integrating canny, principal component analysis and artificial neural network
Ngày tải lên :
28/04/2014, 10:06
... department of Informatics Technology Faculty and a member of Science committee of Informatics Technology Faculty His research interests include soft computing pattern recognition, and computer vision ... http://steadystone.com/research/ml07/ncantelmo_final.doc [11] L H Thai, T S Hai, “Facial Expression Classification Based on Multi Artificial Neural Network , in Proc International conference on Advance Computing ... configuration, we conduct the training with error = 10-7 and obtained the result below: TABLE III FACIAL EXPRESSION CLASSIFICATION Feeling Correct Classifications Classification Accuracy % Anger 9/10...
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backpropagation artificial neural network in c++ - codeproject
Ngày tải lên :
28/04/2014, 10:10
... pcfct: 0.0 +rdcie 100 peitv: 0.0 -rdcie 100 peitv: 0.0 acrc:100 cuay 0.0 ts st et e: sniiiy 8.6 estvt: 84 seiiiy 9.1 pcfct: 23 +rdcie 9.3 peitv: 58 -rdcie 8.0 peitv: 00 acrc:8.4 cuay 97 casfcto ... 100 pcfct: 0.0 +rdcie 100 peitv: 0.0 -rdcie 9.5 peitv: 61 acrc:9.5 cuay 86 vldto st aiain e: sniiiy 9.0 estvt: 60 seiiiy 100 pcfct: 0.0 +rdcie 100 peitv: 0.0 -rdcie 9.1 peitv: 23 acrc:9.0 cuay ... Federation Member Former Cambridge University postdoc (http://www-ucc-old.ch.cam.ac.uk/research/yc274-research.html), Department of Chemistry, Unilever Centre for Molecular Informatics, where I worked...
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designing and implementing a neural network library for handwriting detection, image analysis etc
Ngày tải lên :
28/04/2014, 10:10
... generic neural network This is a concrete implementation of INeuralNetwork NeuralNetworkCollection A collection of neural networks Neuron A concrete implementation of INeuron NeuronCollection A collection ... by a neural network factory A Factory should implement the INetworkFactory interface We have a concrete implementation of INetworkFactory, called BackPropNetworkFactory, for creating Backward ... the basic theory behind neural networks (backward propagation neural networks in particular) Understand how neural networks actually 'work' Understand in more detail, the design and source code...
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neural network models for formation and control
Ngày tải lên :
28/04/2014, 10:16
... (feedback gain $K$ and summation of feedback and feedforward commands), the transcortical loop (neg- ative feedback loop) and the cerebrocerebellum-parvocellular red nucleus system (inverse dynamics ... problems, and a hierarchical neural network model is introduced to deal with motor com- mand Combination of the second and the third approach was found to be very efficient for learning trajectory control ... movement One can easily see that the two objective functions $C_ {J}$ and $C_ {T}$ are closely $related30$ However, it must be $e^{\backslash }mphasized$ that the objective function $C_ {T}$ critically...
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Báo cáo hóa học: " Research Article Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition" pot
Ngày tải lên :
22/06/2014, 19:20
... (−1, +1), and (−1,−1), respectively In general, a pairwise neural- network system consists of C( C − 1)/2 ANN classifiers, represented by functions f1/2 , , fi/ j , , fC−1 /C , and C output ... Kung, M W Mak, and S H Lin, Biometric Authentication: A Machine Learning Approach, Pearson Education, Beijing, China, 2005 [2] C Liu and H Wechsler, “Robust coding schemes for indexing and retrieval ... multiclass neural networks EXPERIMENTS In this section, we describe our experiments with synthetic and real face image datasets, aiming to examine the proposed pairwise and multiclass neural- network...
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Neural network adaptive force and motion control of robot manipulators in the operational space formulation
Ngày tải lên :
14/09/2015, 08:50
... end-effector and the surface) is known and an accurate desired trajectory can be designed based upon known surface’s geometry of which deflection can be computed And therefore the force produced equals ... sliding friction vector, (m × 1) hvis , hcou , hsti , hdec components of h: the viscous friction, coulomb friction, stiction, and Stribeck effect, respectively, (m × 1) hvis,M a positive scalar upper ... velocity observer (since our physical robot does not have a joint velocity feedback), (3) force and motion neuro-adaptive control which, and accompanied by (4) neuro-adaptive impact force control...
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ROTARY INVERTED PENDULUM AND CONTROL OF ROTARY INVERTED PENDULUM BY ARTIFICIAL NEURAL NETWORK
Ngày tải lên :
31/10/2015, 10:42
... Zbikowski and P.J Gawthrop, Automatica 28(1992) 1083 [5] Neural Network Toolbox Users Guide, The Mathworks Inc (1998) [6] D.T.Pham and X Liu, Neural Networks for Identification, Prediction and Control, ... spacecrafts, skyscraping buildings, etc Obtained results of identifying nonlinear system can be applied to complex physical systems and objects mathematical model of that cannot be built exactly ... Second Law in direction x and in direction y Figure describes forces acting on the arm and the pendulum From that, m¨ xB = Fx ⇒ mrθ¨ + mLα˙ sin α − mL¨ α cos α = Ax , (4) m¨ yB = Fy ⇒ −mLα˙ cos...
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Neural network approach for sensor fault detection and accommodation
Ngày tải lên :
26/11/2015, 22:57
... dynamic neural networks where the internal states has self-feedback connections They, therefore, possess characteristics such as dynamic attraction and dynamic storage of information As RNN can ... the conclusion and provides suggestions for future work 10 Chapter MLP based approach for sensor fault detection and accommodation 2.1 Fault tolerant control using neural network Neural networks ... Networks (RBF)(Powell, 1985), an Elman network, a Jordan network (Jordan, 1986) and so on These neural networks are roughly classified into two categories: static neural networks and dynamic neural...
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Artificial Neural Network Identification And Control Of The Inverted Pendulum
Ngày tải lên :
24/09/2016, 17:26
... discussed Chapter covers the theory, structure and operation of artificial neural networks Chapter covers the whole area of system identification The procedure of system identification is discussed ... feedback controllers were developed and tested The next chapter in the report discusses the theory and operation of artificial neural networks 17 Artificial Neural Netw orks The science of artificial ... system using neural networks The second aim is to develop a neural network controller which determines the correct control action to stabilize the system, but can also learn from experience System...
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Text extraction from name cards using neural network
Ngày tải lên :
05/11/2012, 14:54
... = avg _ c ∑ nc × c c =0 255 ∑n c = avg _ c c c 255 ∑n c =0 c avg _ c ∑n c c =0 255 ; (1) ; (2) ∑n c = avg _ c c ; n _ std = std (nc ), c ∈ [0,255] ; l _ std = std (nc ), c ∈ [0, avg _ c] ; r ... systematically In doing so, we use contours of objects to simplify the conventional color reduction and connected components extraction procedure Further, with the help of the object contours, we can ... min(avg _ cc1 , avg _ cc ) = max(avg _ cc1 , avg _ cc ) then the relative similarity RSIM for a certain direction, say X is: sizeX (C1 ) RSIM (C1 , C , F , X ) = SIM × (8) disX (C1 , C2 ) sizeX...
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