artificial neural network in remote sensing

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 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,...

Ngày tải lên: 28/04/2014, 10:10

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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...

Ngày tải lên: 28/04/2014, 10:06

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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 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

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application of back-propagation neural network in data forec

... 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...

Ngày tải lên: 28/04/2014, 10:18

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Báo cáo hóa học: "Investigating the synchronization of hippocampal neural network in response to acute nicotine exposure" pdf

... skin or smoking, crosses the blood-brain barrier and stimu- lates nicotinic-cholinergic receptors of the CNS, causing an increase in heart rate, blood pressure and some cogni- tive functions in ... 6 Author Details 1 Harrington Department of Bioengineering, Fulton School of Engineering ASU, Tempe AZ, USA and 2 Department of Biomedical Engineering, Cullen College of Engineering, University of ... oscil- lations in response to nicotine exposure are unique and indicate the emergence of more synchronization of the hippocampal neural networks since hippocampal neural firings become regular and deterministic...

Ngày tải lên: 19/06/2014, 08:20

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High Performance Computing in Remote Sensing - Chapter 2 docx

... High-Performance Computing in Remote Sensing is a good example of the computational requirements introduced by remote sensing applications, there are many other remote sensing areas in which high-dimensional data ... implementations for dealing with remote sensing problems, and the goal to speed up algorithm performance has already been identiﬁed in many on-going and planned remote sensing missions in order to satisfy the ... High-Performance Computing in Remote Sensing It should be noted that the proposed parallel algorithm has been implemented in the C++ programming language, using calls to message passing interface (MPI)...