artificial neural network application in control system ppt
a facial expression classification system integrating canny, principal component analysis and artificial neural network
... Rapid Facial Expression Classification Using Artificial Neural Network [10], Facial Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database. TABLE IV. ... Expression Classification Using Artificial Neural Networks [10] 73.3% Facial Expression Classification Using Multi Artificial Neural Network [11] 83.0% Proposal System (Canny_PCA_ANN) ... than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial Neural Network [11] (only used ANN). Beside, this...
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backpropagation artificial neural network in c++ - codeproject
... The binary floating point file format is expedient when you have a large amount of data. The data is saved in aseparate file as a sequence of floating point numbers in binary format, using 4 ... the console application for backprop training are optional. You may use them for validationand testing of your network, for input data normalization, and error limits during training process.>ann1dn ... layer:ANNetwork::ANNetwork(const wchar_t *fname);ANNetwork::ANNetwork(int layers_number, int *neurons_per_layer);int nerons_per_layer[4] = {128, 64, 32, 10};ANNetwork *ann = new ANNetwork(4,...
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Tài liệu Neural Network Applications in Intelligent doc
... manufacturing in the future [1, 2]. FIGURE 2.1 Hierarchy of neural network applications in intelligent manufacturing. Neural Network Applications in Intelligent Manufacturing System Modelingand ... developed a neural- network/ expert system for engine fault diagnosis in an integrated steelindustry. A multilayer feedforward neural network was trained with engine fault information includingmaintenance ... preservingthe quality of consolidation. Ding et al. [85] applied a neural network for predicting and controlling a leadscrew grinding process.The neural network was a multilayer neural network...
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Tài liệu Mechatronics DC Motor / Tachometer Closed-Loop Speed Control System ppt
... Kevin Craig DC Motor / Tachometer Closed-Loop Speed Control System 4 4. Mathematical Model The steps in mathematical modeling are as follows: ã Define System, System Boundary, System Inputs ... determine the performance of the final, closed-loop system. The experimental testing is performed in both the frequency domain and the time domain in order to determine the closed-loop system ... needed in feedforward control. It is evident, therefore, that the measurement subsystem is an important part of a control system. The measurement subsystem in a control system contains sensors...
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Báo cáo " Advantages and disadvantages of using computer network technology in language teaching " pptx
... communication in the target language, including composing and exchanging messages with other students in the classroom or around the world” (Oxford, 1990, p. 79). By involving in an email exchange ... include the investment in training. The use of the Internet in language teaching and learning requires some technological knowledge and computer skills from both teachers and learners. Insufficient ... input from their exchange partner while maintaining the unrehearsed communicative context. The network environment also enables a new form of language learning i.e. distance learning. Indeed,...
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Báo cáo " Race and Hazard algebra in asynchronous system " pptx
... is a special suitable means of describing. In fact propagation delay time of circuit system should be in thought firstly in designing circuit network. In that case Boolean algebra does not seems ... hazard corresponding x2. In this case xi := (x1, x3, x4), so there will be 2n = 23 = 8 cases to examine, as shown in table 2: Now we examine individual cases shown in table 2: Table ... signal in the inactive time as in Boolean algebra - 0,1 are intermediate elements (not integers) that related to “+” and “.” operations of circuit algebra. - τL ≡ represents falling signal...
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Báo cáo khoa học: Sugar signalling and antioxidant network connections in plant cells pptx
... metabolized. Invertases (INVs) can in uence plant growth and development either directly (e.g. by in uencing source–sink relationships or by acting as a true regulatory protein)or indirectly via ... metabolism and signalling function in an intri-cate network with numerous hormones and reactive oxygen species (ROS)production, signalling and scavenging systems. Although hexokinase is wellknown ... metabolizing enzymes in both sugar and ROS signalling pathways and theirco-operation with antioxidant networks in plant cellsare presented. A picture is emerging in which the activ-ity of HXK may control...
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facial expression classification based on multi artificial neural network
... called local training. Phase (2) is to train CNN(s) in GF one-by-one called global training. In local training phase, we will train the SNN1 first. After that we will train SNN2, SNNm. ... local training In the global training phase, we will train the CNN1 first. After that we will train CNN2,…,CNNL. Fig 8. CNN1 global training On the other approach is building the ... it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial Neural Network (MANN), applying for...
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Neural Network Toolbox in Matlab
... enter:net=train(net,houseInputs,houseTargets);During training, the following training window opens. This window displays training progress and allows you to interrupt training at any point by clicking Stop Training. ... sections explain how to use three graphical tools for training neural networks to solve problems in function fitting, pattern recognition, and clustering. Neural Network including connections ... vectors into three sets:- 60% are used for training.- 20% are used to validate that the network is generalizing and to stop training before overfitting. Fitting a Function1-13Using the Neural...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf
... neural networks; the second volume contains artifi cial neural network applications in industrial and control engineering. This second volume begins with a part of artifi cial neural network applications ... power systems, and power allocation systems, mechanical engineering such as engines and machines, control and robotic engineering such as nonlinear system control, induction motors, system ... application of ANN in textiles and clothing industries will be addressed in last section. Artificial Neural Networks - Industrial and Control Engineering Applications 6 neural net produced...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 2 doc
... as the input units of the neural network. They used a back propagation neural network by eight defect samples for off line training. The initial learning rate was 0.1; keeping reducing to 0.01 ... segmenting pills appearing on converted gray images, extracting of a pill's feature index, and finally assessing pilling grade by Kohonen self Artificial Neural Networks - Industrial and Control ... beyond 3 mm, breaking strength, breaking Artificial Neural Networks - Industrial and Control Engineering Applications 24 Study Area No Title Author Journal Year Vol(No),pp. Findings Limitations...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc
... percentage Artificial Neural Networks - Industrial and Control Engineering Applications 88 Sao, K.P. & Jain, A. K. (1995). Mercerization and crimp formation in jute. Indian Journal ... percentage compression by ANN model Artificial Neural Networks - Industrial and Control Engineering Applications 74 Tenacity in the machine direction Tenacity in the transverse direction Predicted ... fabric samples and corresponding experimental values of compression properties shown in (Table 12). Artificial Neural Networks - Industrial and Control Engineering Applications 66 nature....
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Artificial Neural Networks Industrial and Control Engineering Applications Part 4 pot
... training2ndANN training3rdANN training4thANN training5thANN trainingRandomly initialized weights & biasesWeights & biases from the 1sttraining1st training ... description of artificial neural network configuration Artificial Neural Networks - Industrial and Control Engineering Applications 120 , where xi is the input of node j of the input layer, ... step training; (b) – in the beginning of the 2nd step training; (c) – at the end of the training. On each screenshot: the menu on the left defines training parameters; the graph in middle-top...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf
... 14.14GPa which is corresponding to the sintering temperature of 1420°C and the holding time of 80min, while Artificial Neural Networks - Industrial and Control Engineering Applications 158 2.5 ... Neural Networks - Industrial and Control Engineering Applications 146 According to the BP neural network model, the number of hidden neurons is initially chosen as 6, so the neural network ... algorithm in the optimization of hot pressing parameters Artificial Neural Networks - Industrial and Control Engineering Applications 162 The depicting effect of mentioned factors and their interactions...
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