artificial neural network java code

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
... USING ARTIFICIAL NEURAL NETWORK In this paper, we use Multi Layer Perceptron (MLP) Neural Network with back propagation learning algorithm. A. Multi layer Perceptron (MLP) Neural Network ... with Rapid Facial Expression Classification Using Artificial Neural Network [10], Facial Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database. TABLE ... Facial Expression Classification Using Artificial Neural Networks [10] 73.3% Facial Expression Classification Using Multi Artificial Neural Network [11] 83.0% Proposal System...
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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
... many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial ... any in L given classes, the Artificial Neural Network identify and report results to the outside given classes. In this paper, we propose the Multi Artificial Neural Network (MANN) model to apply ... into responsive class using a Neural Network called Sub Neural Network (SNN) of MANN. Lastly, we use MANN’s global frame (GF) consisting some Component Neural Network (CNN) to compose the classified...
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neural network for beginners (part 1 of 3) - codeproject

neural network for beginners (part 1 of 3) - codeproject

Ngày tải lên : 28/04/2014, 10:10
... towards dealing with single layer networks, let's dicuss those further: Single layer neural networks Single-layer neural networks (perceptron networks) are networks in which the output unit ... with neural networks Well if we are going to stick to using a single layer neural network, the tasks that can be achieved are different from those that can be achieved by multi-layer neural networks. ... â CodeProject, 1999-2012 Terms of Use I am lucky enough to have won a few awards for Zany Crazy code articles over the years Microsoft C# MVP 2012 Codeproject MVP 2012 Microsoft C# MVP 2011 Codeproject...
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ai _ neural network for beginners (part 2 of 3) - codeproject

ai _ neural network for beginners (part 2 of 3) - codeproject

Ngày tải lên : 28/04/2014, 10:10
... : NN_Trainer_XOR : Trains a Neural Network to solve the XOR problem TrainerEventArgs : Training event args, for use with a GUI NeuralNetwork : A configurable Neural Network NeuralNetworkEventArgs : Training ... also possible to view the Neural Networks final configuration using the "View Neural Network Config" button. If people are interested in what weights the Neural Network ended up with, ... follows: 1. Part 1 : Is an introduction into Perceptron networks (single layer neural networks). 2. Part 2 : This one, is about multi layer neural networks, and the back propagation training method...
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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
... the neural network 2.2 Neural Network In this subsection, text extraction from static image or video sequences is accomplished using the back-propagation (BP) algorithm on a neural network. ... Those features are used as the input of a neural network for training based on the back-propagation algorithm for neural networks. After the neural network is well trained, new input data will ... 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 is simpler...
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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
... Binarization result IV. CONCLUSION AND FUTURE WORKS A neural network based method is discussed in this paper. The features used for the neural network are not only the spatial characteristics but ... width and height, there are totally 14 features used for the neural network analysis. D. Contours classification using neural network We extract the above features which are helpful for classification ... Backpropagation neural network can handle any nonlinear relationship after training including the complicated inter- relationship between the features. Making use of neural networks will also...
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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
... DESIGN ARTIFICIAL NEURAL NETWORK MODEL Neural networks are computer models that mimic the knowledge acquisition and organization skills of the human brain. Since, the characteristics of a neural ... GW (1992). " ;Neural network modeling of the mechanical behavior of sand," Proc. 9 th Conf. ASCE, New York, pp 421-424. Garson, GD (1991). "Interpreting neural- network connection ... In this study, a back-propagation neural network model for estimating of proper strain rate form soil parameter is proposed. The back-propagation neural network program adopted in the present...
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Mô hình mạng neural network

Mô hình mạng neural network

Ngày tải lên : 29/09/2013, 06:20
... gọn như sau : Mạng nhiều lớp neuron CHƯƠNG 2 MÔ HÌNH MẠNG NEURAL NETWORKS Mô hình mạng Neural tổng quát có dạng như sau : Ngày nay mạng Neural có thể giải quyết nhiều vấn đề phức tạp đối với con ... định dạng của dữ liệu vào ảnh hưởng đến việc mô phỏng của mạng. Có hai loại mạng static network và dynamic network. Hai kiểu vector đầu vào cơ bản là kiểu xảy ra đồng thời (concurrently) và kiểu ... trong lớp a : vector ngõ ra của lớp neuron Hàm truyền Có rất nhiều hàm truyền áp dụng trong Neural Networks, trong đó ba hàm thường sử dụng nhất là Hard Limit, Linear, Log-Sigmoid. Tổng quát...
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043_Nghiên cứu mạng Neural Network trong nhận dạng chữ viết

043_Nghiên cứu mạng Neural Network trong nhận dạng chữ viết

Ngày tải lên : 06/10/2013, 20:20
... tự sang mã nhị phân Unicode và ngược lại một cách thường xuyên. - Tính toán lỗi (error), điểm ra (output) và trọng số (weight) thường xuyên. - Xây dựng mạng Neural Network. 1) Huấn luyện ... Stanford AI Lab http://ai.stanford.edu/~nilsson [4] Offline Handwring Recognition Using Artificial Neural Networks â 2000, Andrew T.Wilson University of Minnesota, Morris ... Minh Ánh. Nghiên cứu và ứng dụng mạng neural trong nhận dạng chữ viết tay tiếng Việt. Khóa luận tốt nghiệp đại học 2005, Đại học Công Nghệ, ĐHQGHN. [3] Artificial Intelligence and cognitive...
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