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Artificial neural network based adaptive controller for DC motors

... structure for the motor drive control was introduced Artificial neural network based adaptive controller for DC motors 22 Chapter ANN based Adaptive Controller Chapter ANN BASED ADAPTIVE CONTROLLER ... a2 Figure 3.1 Block diagram for the ANN based Adaptive Controller Artificial neural network based adaptive controller for DC motors 24 Chapter ANN based Adaptive Controller The operation of the ... tested for proper functioning, performance evaluation of the ANNbased adaptive controller is performed through extensive experimentation Artificial neural network based adaptive controller for DC motors...

Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc

... signals are compared with the output of a single UP/DOWN counter and processed through a logic block to generate the PWM outputs for for for for for (5) for for for for for for for for for for ... -phase P states and performed with the and signals only Similar operations are signals of all the phases and all the The drive performance was evaluated in detail by simulation with the neural ... drive and evaluated thoroughly for steady-state and dynamic performance with a conventional DSP-based SVM The performance of the ANN-based modulator was found to be excellent The modulator can...

facial expression classification based on multi artificial neural network

... Artificial Neural Network (MANN) Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial Neural Network (MANN), applying for pattern or image classification ... parameters This is a wrong result classification One other approach is popular at present is to use Artificial Neural Network for the pattern classification Artificial Neural Network will be trained ... international ACM SIGIR conference on Research and development in information retrieval (2005) 544551 Nguyen, V.H.: Facial Expression Based on Wavelet Transform, the 2nd International Congress on Image...

experimental analysis of neural network based feature extractors for

... feed-forward neural networks There was only one hidden layer for all kinds of networks in this research The number of neurons in the input layer of all these extractor was governed by the size of ... Multi-MLP For the Multi-MLP feature extractor, the situation was different The possible outputs governed the number of neural networks instead of the number of output units Each neural network ... Artificial neural networks for feature extraction and multivariate data projection IEEE Trans Neural Networks 6, 296 –317, 1995 [2] B Lerner, Toward a completely automatic neural network based human...

Báo cáo hóa học: " Research Article Validity-Guided Fuzzy Clustering Evaluation for Neural Network-Based Time-Frequency Reassignment" potx

... values of these validity measures for fuzzy clustering the GustafsonKessel clustering has the very best results The GustafsonKessel fuzzy clustering algorithm forces each cluster to adapt the ... clusters, and fuzzy clustering is often better suited for the data In this way, data on the boundaries between several clusters are not forced to belong to one of the clusters 2.1 Fuzzy Clustering ... computations for each adjacent pair of components present in the signal indicated by subscript n The value of the measure Ri will be close to one for good performing TFDs and zero for poor performing...

báo cáo hóa học:" Research Article Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classiﬁers for Digital Hearing Aids" pot

... , then bi > b j Therefore, since the ﬁnal decision is taken by comparing the outputs of the neural network and looking for the greatest value, once the network is trained there is no need of ... multiplying the input of the activation function by a, that, in a typical DSP requires, at least, the following instructions: (1) copying x into one of the input register of the MAC unit, (2) copying ... randomly, ensuring that the relative proportion of ﬁles of each category is preserved for each set The training set is used to determine the weights of the MLP in the training process, the validation...

Evolution of artificial neural network controller for a boost converter

... different artificial intelligence techniques viz., Artificial Neural Networks, Particle Swarm Optimization Algorithm and Genetic Algorithms 2.1 Artificial Neural Networks Artificial neural networks are ... compared to a conventional PI controller and the advantages explained and finally the proposed approach for the design of the architecture of the ANN is compared to that of a basic genetic algorithm ... effectiveness of a PSO based algorithm over a genetic algorithm for this application The performance is evaluated based on parameters such as computational time and number of generations Finally, Chapter...

Neural network based multiuser detectors for DS CDMA

... …………………………………………………… Chapter 3: Hybrid-MGNANN Multiuser Detector for DS- CDMA 3.1 Neural Network in DS- CDMA Multiuser Detection 3.2 Hopfield Neural Network (HNN) for Multiuser Detection 3.3 Problems with ... Euclidean norm xi List of Abbreviations AWGN ANN ANNMD BER BPSK CD CDMA CLB DS DS -CDMA DSP DS- SS DSSS-BPSK DECO FDMA FH FH -CDMA HNN HNNMD H-RBFN H-MGNANN MAI MAP MF MLP MLSD MRBF MSD MUD NFR ... Multiple Access Hopfield Neural Network Hopfield Neural Network Multiuser Detector Hybrid Radial Basis Function Network Hybrid Matrix Graduated Non-Convexity Annealed Neural Network Multiple Access...

Tài liệu Fuzzy Neural Network and Wavelet for Tool Condition Monitoring ppt

... 15 Fuzzy Neural Network and Wavelet for Tool Condition Monitoring 15.1 15.2 15.3 15.4 15.5 Xiaoli Li Harbin Institute of Technology Introduction Fuzzy Neural Network Wavelet Transforms Tool ... Transforms Tool Breakage Monitoring with Wavelet Transforms Identiﬁcation of Tool Wear States Using Fuzzy Methods 15.6 Tool Wear Monitoring with Wavelet Transforms and Fuzzy Neural Network 15.1 Introduction ... as wavelet 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...

Báo cáo khoa học: "Neural Network Probability Estimation for Broad Coverage Parsing" doc

... history-based probability model is choosing a method for estimating the parameters d,_1) The main difficulty with this estimation is that the history d , , di _ is of unbounded length Most probability estimation ... (becoming [S-VP ]) These transforms are undone before any evaluation is performed on the output trees We not believe these transforms have a major impact on performance, but we have not currently ... method for automatically inducing a finite set of features for representing the derivation history The method is a form of multi-layered artificial neural network called Simple Synchrony Networks...

Network-Based Operations for the Swedish Defence Forces pot

... effects are massed rather than forces For this reason, network-based operations are attractive to the Swedish Defence Forces A structural or logical model for network-based operations has emerged ... massing force can be obtained with a much smaller force For this reason, network-based operations are attractive to the Swedish Defence Forces The Network A network is the fundamental requirement for ... support the operations will require The operational functions supported by the network are those associated with the selected option for the Swedish Defence Force’s future structure In any case, the...

neural network-based face detection

... pixels Preprocessing Neural network Figure 1: The basic algorithm used for face detection from individual ﬁlters and eliminates overlapping detections 2.1 Stage One: A Neural Network-Based Filter ... threshold detections indicated by boxes To train the neural network used in stage one to serve as an accurate ﬁlter, a large number of face and nonface images are needed Nearly 1050 face examples ... backgrounds and without any faces, to more accurately measure the false detection rate It contains 65 images, 183 faces, and 51,368,003 windows.3 A feature our face detection system has in common...

rotation invariant neural network-based

... also achieve rotation invariance Our paper presents a general method to make template-based face detectors rotation invariant Our system directly analyzes image intensities using neural networks, ... Face recognition/detection by probabilistic decision-based neural network IEEE Transactions on Neural Networks, Special Issue on Artiﬁcial Neural Networks and Pattern Recognition, 8(1), January 1997 ... to use neural networks for rotated-face detection The simplest would be to employ one of the existing frontal, upright, face detection systems Systems such as [Rowley et al., 1998] use a neural- network...

a facial expression classification system integrating canny, principal component analysis and artificial neural network

... (Canny_PCA_ANN) improved the Classification Accuracy than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial ... Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database In this paper, we suggest a new method using Canny, Principal Component Analysis (PCA) and Artificial Neural ... COMPARATION CLASSIFICATION RATE OF METHODS Method Rapid Facial Expression Classification Using Artificial Neural Networks [10] Facial Expression Classification Using Multi Artificial Neural Network...

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