neural network and fuzzy logic control question papers

... complexity analysis 98 Fuzzy logic fundamentals Historical review Fuzzy sets and fuzzy logic 114 Types of membership functions 116 Linguistic variables 117 Fuzzy logic operators 117 Fuzzy control systems ... EDA, neural networks, fuzzy logic, electric machines and drives, power systems and VHDL and forms a basic guide for the understanding of the fundamental principles of modern power electronic control ... rewriting of equation (3.30) as (3.32) and (3.33). l ms · l mr = l msr 2 (3.31) 8 Neural and Fuzzy Logic Control of Drives and Power Systems to the plant under control. This kind of converter can...

Ngày tải lên: 18/04/2014, 12:29

... 0 C++ Neural Networks and Fuzzy Logic: Preface Binary and Bipolar Inputs 27 Chapter 3—A Look at Fuzzy Logic Crisp or Fuzzy Logic? Fuzzy Sets Fuzzy Set Operations Union of Fuzzy Sets Intersection and ... Example Orthogonal Input Vectors Example Variations and Applications of Kohonen Networks C++ Neural Networks and Fuzzy Logic: Preface Preface 8 C++ Neural Networks and Fuzzy Logic by Valluru B. Rao MTBooks, IDG ... Fuzzy Sets Applications of Fuzzy Logic Examples of Fuzzy Logic Commercial Applications Fuzziness in Neural Networks Code for the Fuzzifier Fuzzy Control Systems Fuzziness in Neural Networks Neural Trained...

Ngày tải lên: 23/03/2014, 22:21

... conditions and the monitoring features. 15.2 Fuzzy Neural Network 15.2.1 Combination of Fuzzy System and Neural Network Fuzzy system (FS) and neural networks (NN) are powerful tools for controlling ... can be controlled by the neural network; the inference processing of the fuzzy system is responded to by the neural network. 15.2.2 Fuzzy Neural Network In this chapter, a new neural network ... transforms [2], fuzzy inference [3–5], fuzzy neural networks [6–9], etc., have been established, in which all forms of tool condition can be monitored. Fuzzy systems and neural networks are complementary...

Ngày tải lên: 23/01/2014, 01:20

Ngày tải lên: 21/06/2014, 22:20

... gian trích mẫu 0,1 SV : NGUYỄN TÀI TỈNH____ SHSV: 20092747___LỚP: ĐK&TĐH5-K54 FUZZY CONTROL AND NEURAL NETWORK Thiết kế bộ điều khiển nhiệt độ cho phòng làm việc Cấu trúc mạch vòng điều ... Max-Min 2.4. Giải mờ bằng phương pháp trọng tâm 2.5. Mô phỏng Trên cửa sổ MATLAB đánh lệnh fuzzy thấy xuất hiện cửa sổ FIS EDITOR rồi sau đó tiến hành thiết kế bộ ĐKM theo trình tự như sau:...

Ngày tải lên: 12/04/2014, 10:53

... network based monitoring and control schemes. (a) A neural identifier combined with an adaptive controller. (b) A gain-tuning neural network controller. (c) A feedforward neural controller combined with ... laser heat treatment, and PCB solder joint inspection. Section 12.4 treats neural- network- based control and discusses the architecture of the control system and the role of the network within the ... under- stood process. The neural network control system [Stokes and May, 1996] employed here basically consists of an emulator (identifier) and an inverse neural model controller. The control system is...

Ngày tải lên: 25/12/2013, 19:15

Ngày tải lên: 28/04/2014, 10:16

Ngày tải lên: 24/07/2015, 16:57

... features of candidate text regions. Those features are used as the input of a neural network for training based on the back-propagation algorithm for neural networks. After the neural network ... the neural network 2.2 Neural Network In this subsection, text extraction from static image or video sequences is accomplished using the back-propagation (BP) algorithm on a neural network. ... vertical edges and horizontal edges in an image and dilate these two kinds of edges using different dilation operators. The logical AND operator is performed on dilated vertical edges and dilated...

Ngày tải lên: 05/11/2012, 14:51

... representation of fuzzy logic with the learning power of neural nets, and you get NeuroFuzzy. Training Fuzzy Logic Systems with NeuroFuzzy Many alternative ways of integrating neural nets and fuzzy logic have ... Altrock, " ;Fuzzy Logic and NeuroFuzzy Applications Explained", ISBN 0-1336-8465-2, Prentice Hall 1995. [9] Yager, R., "Implementing fuzzy logic controllers using a neural network framework", ... use fuzzy logic to implement a linguistic control strategy. The following will show you step by step, how you design a controller using fuzzy logic techniques. Structure of a Fuzzy Logic Crane Controller Figure...

Ngày tải lên: 13/12/2013, 01:15

... representation of fuzzy logic with the learning power of neural nets, and you get NeuroFuzzy. Training Fuzzy Logic Systems with NeuroFuzzy Many alternative ways of integrating neural nets and fuzzy logic have ... use fuzzy logic to implement a linguistic control strategy. The following will show you step by step, how you design a controller using fuzzy logic techniques. Structure of a Fuzzy Logic Crane Controller Figure ... Altrock, " ;Fuzzy Logic and NeuroFuzzy Applications Explained", ISBN 0-1336-8465-2, Prentice Hall 1995. [9] Yager, R., "Implementing fuzzy logic controllers using a neural network framework",...

Ngày tải lên: 22/12/2013, 10:15

... ISRR-ANN 4-5-1, and ISRR-ANN 4-7-7-1 models are 95.78%, 95.87%, and 99.27%, respectively. 16.5.2 Conclusions The fuzzy logic and neural- networks-based ISRR models demonstrated that learning and reasoning capabilities ... construct a control system that predicts surface roughness during the execution of the machining process. These two learning methodologies are artificial neural networks (ANN) and fuzzy neural (FN) ... Inference Engine ISRR-FN Ra Machining Process Machining Parameters Workpiece Vibration Spindle Rotation Accelerometer Sensor Proximity Sensor Spindle Speed Depth of Cut Feed Rate â2001 CRC Press LLC 16 Neural Networks and Neural- Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling...

Ngày tải lên: 23/01/2014, 01:20

... and ubiquitin C-terminal hydrolase (specific markers for neural and neuroendocrine tissues) were found in rat long bones at embryonic day 15, in the diaphyseal and metaphyseal perichondrium, and ... homeostasis is also under the influence of central and peripheral neural control, creating a new, previously unsuspected, link between the nervous sys- tem and bone. This concept was first described in ... cortical bone were published, and in 1969, myelinated and nonmyelinated nerve fibers asso- ciated with bone blood vessels were described [14]. In relation to neural control of bone development, most...

Ngày tải lên: 18/02/2014, 04:20

... standard deviation. This way, all input and output levels will be of equal magnitude. The neural network model will not have to model the mean and standard deviation of 20 Chapter 2 Neural Network ... random start weights for neural network train network for 50 epochs end choose best of above networks train network using early stopping as termination Early Stopping It is important for the network ... estimate the mean and stand- ard deviation of the neural network inputs and outputs. Then we use a lin- ear transformation, that will map all signals to zero mean and unit standard deviation based...

Ngày tải lên: 19/02/2014, 09:20

... ISTE and Larsen & Toubro Limited. Her research areas include neural network, fuzzy logic, genetic algorithm, digital control, adaptive and nonlinear control. Coimbatore, India S.N. Sivanandam 2006–2007 ... Coimbat- ore, and Ph.D. in data mining. Her research interests include neural networks, fuzzy systems and genetic algorithms, pattern recognition and classification, data warehousing and data mining, ... Preface ã Review questions and exercise problems ã Simulated results obtained for the fuzzy logic techniques using Matlab version 6.0 ã Application case studies and projects on fuzzy logic in various...

Ngày tải lên: 08/04/2014, 10:12

Ngày tải lên: 24/04/2014, 12:35

... USING ARTIFICIAL NEURAL NETWORK In this paper, we use Multi Layer Perceptron (MLP) Neural Network with back propagation learning algorithm. A. Multi layer Perceptron (MLP) Neural Network Input ... Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial Neural Network [11] (only used ANN). Beside, this method ... algorithm of Gradient Back-Propagation for training to update W. B. Structure of MLP Neural Network MLP Neural Network applies for seven basic facial expression analysis signed MLP_FEA. MLP_FEA...

Ngày tải lên: 28/04/2014, 10:06

... Machine (SVM) and Artificial Neural Network (ANN). In this paper, we propose a solution for Facial Expression Classification using Principal Component Analysis (PCA) and Artificial Neural Network ... USING ARTIFICIAL NEURAL NETWORK In this paper, we use Multi Layer Perceptron (MLP) Neural Network with back propagation learning algorithm. A. Multi layer Perceptron (MLP) Neural Network Input ... Component Analysis (PCA) and Articial Neural Network (ANN) apply for facial expression classification. An facial image is seperated to 4 local region (left eye, right eye, mouth and noses). Each of...

Ngày tải lên: 28/04/2014, 10:06

... interfaces and classes with in the model. NetworkHelper training data elements. NeuralNetwork A generic neural network. This is a concrete implementation of INeuralNetwork NeuralNetworkCollection ... concrete neural network should implement the INeuralNetwork interface. INeuralNetwork interface is shown below. Public Interface INeuralNetwork 'Method to train a network Sub TrainNetwork(ByVal ... able to Understand the basic theory behind neural networks (backward propagation neural networks in particular) Understand how neural networks actually 'work' Understand in more detail,...

Ngày tải lên: 28/04/2014, 10:10