artificial neural network application in control system ppt

... 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...

Ngày tải lên: 28/04/2014, 10:06

... The binary floating point file format is expedient when you have a large amount of data. The data is saved in a separate 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 validation and 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,...

Ngày tải lên: 28/04/2014, 10:10

Ngày tải lên: 20/06/2014, 00:20

Ngày tải lên: 20/06/2014, 00:20

Ngày tải lên: 20/06/2014, 00:20

Ngày tải lên: 20/06/2014, 00:20

Ngày tải lên: 20/06/2014, 00:20

Ngày tải lên: 29/06/2014, 13:20

... manufacturing in the future [1, 2]. FIGURE 2.1 Hierarchy of neural network applications in intelligent manufacturing. Neural Network Applications in Intelligent Manufacturing System Modeling and ... developed a neural- network/ expert system for engine fault diagnosis in an integrated steel industry. A multilayer feedforward neural network was trained with engine fault information including maintenance ... preserving the 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...

Ngày tải lên: 17/12/2013, 06:15

... 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...

Ngày tải lên: 25/01/2014, 13:20

... 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,...

Ngày tải lên: 05/03/2014, 12:20

... 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 x 2 . In this case x i := (x 1 , x 3 , x 4 ), so there will be 2 n = 2 3 = 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. - τ L ≡ represents falling signal...

Ngày tải lên: 14/03/2014, 13:20

... 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 well known ... metabolizing enzymes in both sugar and ROS signalling pathways and their co-operation with antioxidant networks in plant cells are presented. A picture is emerging in which the activ- ity of HXK may control...

Ngày tải lên: 15/03/2014, 11:20

... 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 SNN 1 first. After that we will train SNN 2 , SNN m . ... local training In the global training phase, we will train the CNN 1 first. After that we will train CNN 2 ,…,CNN L . 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...

Ngày tải lên: 28/04/2014, 10:06

... 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 Function 1-13 Using the Neural...

Ngày tải lên: 28/04/2014, 10:17

... 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...

Ngày tải lên: 20/06/2014, 00:20

... 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...

Ngày tải lên: 20/06/2014, 00:20

... 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....

Ngày tải lên: 20/06/2014, 00:20

... trainin g 2 nd ANN trainin g 3 rd ANN trainin g 4 th ANN trainin g 5 th ANN trainin g Randoml y initialized wei g hts & biases Wei g hts & biases from the 1 st trainin g 1 st trainin g ... description of artificial neural network configuration Artificial Neural Networks - Industrial and Control Engineering Applications 120 , where x i is the input of node j of the input layer, ... step training; (b) – in the beginning of the 2 nd 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...

Ngày tải lên: 20/06/2014, 00:20

... 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...

Ngày tải lên: 20/06/2014, 00:20