artificial neural network code in matlab

Neural Network Toolbox in Matlab

Neural Network Toolbox in Matlab

Ngày tải lên : 28/04/2014, 10:17
... 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. ... First printing April 1993 Second printing January 1997 Third printing July 1997 Fourth printing January 1998 Fifth printing Revised for Version 3 (Release 11) September 2000 Sixth printing Revised ... 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...
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backpropagation artificial neural network in c++ - codeproject

backpropagation artificial neural network in c++ - codeproject

Ngày tải lên : 28/04/2014, 10:10
... 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 ... 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 t network. nn data1_file ... 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

Tài liệu Neural Network Applications in Intelligent doc

Ngày tải lên : 17/12/2013, 06:15
... leadscrew grinding process using neural networks, Computers in Industry, 23, 169, 1993. 86. Chen, J. S., Neural network- based modeling and error compensation of thermally-induced spindle errors, International ... the use of neural networks is still constrained to simulations on sequential computing machines. Training a large network using a sequential machine can be time-consuming. Fortunately, training usually ... types of neural networks included ART networks, Hopfield networks, and SOM neural networks. Weaknesses of neural networks for modeling and design of manufacturing systems result from neural networks...
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a facial expression classification system integrating canny, principal component analysis and artificial neural network

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

Ngày tải lên : 28/04/2014, 10:06
... 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

facial expression classification based on multi artificial neural network

Ngày tải lên : 28/04/2014, 10:06
... 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...
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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks

Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks

Ngày tải lên : 22/03/2013, 15:01
... for predicting proper strain rate involved three phases First, data collection phase involved gathering the data for use in training and testing the neural network. A large training data reduces ... of under-sampling the nonlinear function, but increases the training time. To improve training, preprocessing of the data to values between 0 and 1 was carried out before presenting the patterns ... squared error over all the training patterns was minimized. Experiment were carried out using a number of combinations of input parameters to determine the neural network model that gave the...
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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf

Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf

Ngày tải lên : 29/03/2014, 21:20
... should be divided into several sets (training, testing, production, on-line, remaining). The training set is used to adjust the interconnection weights of the MPNN model. The testing set is used ... local minimum far from the global one. During the learning process, the network should be periodically tested on the testing set (not included in the training set) www.intechopen.com Artificial ... perceptron neural network (Božnar et al, 1993), but in the following years we use an artificial neural networks in several other applications that differ very much each another. In this article we intend...
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application of back-propagation neural network in data forec

application of back-propagation neural network in data forec

Ngày tải lên : 28/04/2014, 10:18
... training, and testing. CONTENT CONTENT Introduction Introduction Steps in data forecasting modeling Steps in data forecasting modeling using neural network using neural network Determine network s ... forecasting modeling using neural network Steps in data forecasting modeling using neural network The major steps in design the data forecasting model is as follow: 1 .   Choosing variables 2. ... Back-Propagation neural Back-Propagation neural network in data forecasting network in data forecasting Le Hai Khoi, Tran Duc Minh Le Hai Khoi, Tran Duc Minh Institute Of Information Technology – VAST Institute...
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Artical - Neuron Network - Sử dụng Matlab để huấn luyện mạng ANN

Artical - Neuron Network - Sử dụng Matlab để huấn luyện mạng ANN

Ngày tải lên : 04/10/2012, 11:52
... 2004. [10]. Using neural network to predict performance of design-build projects in Singapore- Florence Yean Yng Ling, Min Liu. Building and Environment, 2004. [11]. Improving the COCOMO model using ... Engineering and Management, 1998. [9]. Neural Network Model to Support international Market Entry Decisions by Irem Dikmen and M.Talat Birgonul. ASCE, Journal of Construction Engineering ... Estimating software development effort with connectionist models by Gerhard Wittig, Gavin Finnie, 1997. [4]. A Learning Vector Quantization Neural Network Model for the Classification of Industrial...
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Automatic text extraction using DWT and Neural Network

Automatic text extraction using DWT and Neural Network

Ngày tải lên : 05/11/2012, 14:51
... algorithm on a neural network. The training of the neural network is based on the features we obtain from the DWT detail component sub-bands. As shown in Figure 6, the proposed neural network architecture ... definite non-edge points. Real text edges are detected using an edge-strength-smoothing operator and an edge-clustering-power operator. Finally, they employ a string-oriented coarse-to-fine ... According to these features, the text regions are obtained using a neural network. The final results are shown in Figure 8(c). 4. Conclusion This paper presents a method for extracting text...
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Text extraction from name cards using neural network

Text extraction from name cards using neural network

Ngày tải lên : 05/11/2012, 14:54
... Cards Using Neural Network Lin Lin School of Computing National University of Singapore Singapore, 117543 +65-6874-2784 linlin@comp.nus.edu.sg Chew Lim Tan School of Computing National ... can handle any nonlinear relationship after training including the complicated inter- relationship between the features. Making use of neural networks will also make the features useful for ... different type of images. To train the neural network, we create a Backpropagation neural network consisting of 14 inputs nodes, 20 hidden nodes, and 1 output node. Since we extract features directly...
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MOBILE NETWORK SERVICES IN VIETNAM

MOBILE NETWORK SERVICES IN VIETNAM

Ngày tải lên : 22/04/2013, 15:35
... business, to introduce the trends in providing services in the future and to find the attitude of people who are using services of providers. 3. Definitions of the Key Terms - Mobile network (cellular ... providers are advancing social network in mobile, making it more specialized, improving to personalize position services, and upgrading security. Moreover they are also finding the way to make ... Mobile Network Services in Vietnam ………………………………………………… 3 1. The Origin of Mobile Network …………………………… 3 2. The Development of Mobile Network services………………. 3 3. Mobile Network Business in Vietnam………………………...
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