artificial neural network application in civil engineering
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
... applications in intelligent manufacturing. Neural Network Applications in Intelligent ManufacturingSystem Modelingand DesignProcess Modeling,Planning andSchedulingProcess Monitoringand ControlQuality ... backpropagationlearning rule of neural networks, Computers and Industrial Engineering, 20, 425, 1991. 40. Jamal, A. M. M., Neural networks and cellular manufacturing: The benefits of applying a neural network ... theuse of neural networks is still constrained to simulations on sequential computing machines. Traininga large network using a sequential machine can be time-consuming. Fortunately, training usually...
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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. ... Facial Expression Classification Using Artificial Neural Networks [10] 73.3% Facial Expression Classification Using Multi Artificial Neural Network [11] 83.0% Proposal System ... 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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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 ... pilling, finger marks, and others. free online editions of InTech Books and Journals can be found atwww.intechopen.com Artificial Neural Networks - Industrial and Control Engineering ApplicationsEdited ... 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 ... 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 ... results were obtained from the generalized feed forward neural network algorithms. He examined the predictive power by Artificial Neural Networks - Industrial and Control Engineering Applications...
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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 ... of Intelligent Methods for Evaluating the Apparent Quality of Knitted Fabrics. Engineering Applications of Artificial Intelligence, Vol.23, pp. 217-221, ISSN 0952-1976 Artificial Neural Networks ... 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...
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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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Artificial Neural Networks Industrial and Control Engineering Applications Part 6 potx
... (as-received) Artificial Neural Networks - Industrial and Control Engineering Applications 168 Botlani-Esfahani. M, Toroghinejad. M. R. and Abbasi. Sh. (2009b) Artificial Neural Network Modeling the ... Precipitation in North Carolina. Water, Air, and Soil Pollution, 172, 167. Artificial Neural Networks - Industrial and Control Engineering Applications 176 for testing. For the training stage, ... Artificial Neural Networks - Industrial and Control Engineering Applications 182 Karacan, C.O. (2007). Development and application of reservoir models and artificial neural networks...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 7 pptx
... propagation error. Learning of the network was carried out using 9 data points from the Artificial Neural Networks - Industrial and Control Engineering Applications 228 networks is given by ... 150-158(9) Part 3 Food Industry Artificial Neural Networks - Industrial and Control Engineering Applications 232 ANN was investigated, is given in Table 2. In regard to carcass classification ... discussed, in order to combine analytical prior knowledge with the learning capabilities of Artificial Neural Networks (ANN). The intelligent modeling approach of models employing Artificial Neural Network...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 8 pptx
... improve the training speed of the network[ 22]. The BP neural network training process used in this article is shown in Fig. 3. Fig. 3. The training flow chart of BPNN Input training samples ... shown in Table 3. Fig. 8. Actual structure of neural network. Artificial Neural Networks - Industrial and Control Engineering Applications 246 abandon various kinds of irrational points ... trained, if the NN average error is smaller than the setting object for ending the training, the training is over, or else it keeps on new training after updating the total training steps. Application...
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