dempster shafer evidence theory for data fusion
Signal Processing for Remote Sensing - Chapter 3 docx
... classification performance 3.4.3 Useful Definitions Before we go on, let us define some useful quantities that apply to the assessment of performance for classifiers The confusion matrix [29] for a two-class ... value for 40 elements in the feature vector is (slightly) larger than that for 34 elements, the variance for 40 is nearly three times that for 34 elements Therefore, a length of 34 elements for ... interpolation problem may be formulated as follows Assume M distinct data points X ¼ {x1, , xM} Also assume the data set is bounded in a region V (for a specific class) Each observed data point x R u...
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Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc
... processed through a logic block to generate the PWM outputs for for for for for (5) for for for for for for for for for for (6) for for for for for 664 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL ... be expressed in the general form for for for - (9) for (3) for for for for for for (4) and denotes the sector name where Similarly, the corresponding expressions for mode can be derived as shown ... generation for all the regions in sector , and Fig illustrates waves for sector region only IV PERFORMANCE EVALUATION Fig Segmentation of neural network output for U -phase P states and performed...
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báo cáo hóa học:" Research Article Performance Analysis of Bit-Width Reduced Floating-Point Arithmetic Units in FPGAs: A Case Study of Neural Network-Based Face Detector" ppt
... face database [17] is chosen for this study The Olivetti face database consists of mono-color face and Neural network output (threshold) A first-order derivative is 0.5 −0.5 Face data Non-face data ... change Figure shows the classification result of 220 face and non-face data X-axis shows the data number of face data Networks Input Data Size Operating Time Frame Rate Specification 32, 24, 20, 16, ... weights data and input data, respectively, including the reduced-precision error They are described by W f = W + εW and X f = X + εX Therefore, the multiplication of weights and input data are...
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Tài liệu A Backpropagation Neural Network for Computer Network Security doc
... P Tan, 2002 Data mining for network intrusion detection Proc NSF Workshop on Next Generation Data Mining Leonid, P., E Eskin and S.J Stolfo, 2001 Intrusion detection with unlabeled data using ... mapping for the problem at hand[5] Unsupervised learning method is not given any target value A desired output of the network is unknown During training the network performs some kind of data compression ... layer * The output layer nodes compute the network output for the particular input vector The forward pass produces an output vector for a given input vector based on the current state of the...
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Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx
... as ARGM-LOC or ARGM-TMP for additional locational or temporal information relative to some verb Shallow semantic parsing has immediate applications in tasks such as meta -data extraction (e.g from ... show that the parse tree is necessary for good generalization by showing that segments derived from a shallow syntactic parser or chunker not perform as well for this goal A further analysis of ... provide the MLP with information about the verb position within the sentence For that purpose we use a kind of linear layer which is adapted to the sentence considered It takes the form: T ws(1)...
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neural network-based face detection
... and C [Rowley et al., 1995] gives a breakdown of the performance of each of these system for each of the three test sets, as well as the performance of systems using neural networks to arbitration ... system it is trained to produce a maximal positive value for centered faces, and a maximal negative value for non-faces Unlike our system, for faces that are not perfectly centered, the network ... be used A second network is used for precise localization: it is trained to produce a positive response for an exactly centered face, and a negative response for faces which are not centered...
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rotation invariant neural network-based
... order for the system described above to be accurate, the router and detector must perform robustly and compatibly Because the output of the router network is used to derotate the input for the ... detection rate on upright faces for two 10 The results for the upright test set are slightly different from those presented in [Rowley et al., 1998] because we now check for the detection of upside-down ... that one reason for this is that our training data is not representative of the variations present in real images Most of our profile training images are taken from the FERET database [Phillips...
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experimental analysis of neural network based feature extractors for
... input data and such a network can therefore be used for feature extraction To be consistent with all the neural networks being compared in this research, the training file was set to the same format, ... previously For the AA, the second part was exactly the same as the first part u, x After training, the three techniques were assessed by their classification rates for both training data and test data ... the top results for character recognition: 61.9% for the test set and 94.3% for the training set, The second best one was the MLP, followed by Multi-MLP, whose classification rate for the training...
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neural network-based handwritten signature
... to practice their forgeries and to attempt the forgery in a similar environment to that in which the original signature was performed Forgers were not professional or trained forgers, but they ... for testing Ten skilled forgeries were captured for each signer, providing a total of 1,110 forgeries in the database No captured signatures were excluded from use in the database (with the exception ... signature (both taken from the signature database used in this project) The pen-down ratio for the genuine signature is 0.992 and is 0.879 for the forgery (forgeries were typically found to have...
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neural network-based offline handwritten
... FAR for random forgeries (FAR-random), and FAR for skilled forgeries (FAR-skilled) It is natural to notice that the FAR-random curve is lower than the FAR-skilled curve, since in random forgeries ... can be a difficult feature for a forger to discern from an off-line copy of the signature D Training of Database of Signatures : The extracted features are stored in to database The human signature ... Interval of the best performance The method is tested using genuine and forgery signature produced, an equal error rate (EER) of 25.1% and 5.5% was archived for skilled and random forgeries, respectively...
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neural network based trajectory planning
... i ′ ∂ xi x = l In these formulas, i (2) and the linear i approximation arctan( yie ) ≅ yie is valid for small ′ ′ deflections Ti denotes the global transformation matrix ∧ ∧ from ... FIGURE Reference (dotted lines) and actual (solid lines) angles for the shoulder and elbow angles 40 -3 Defl for Link (m) Defl for Link (m) 0.02 0.01 -0.01 -0.02 10 20 30 Time (sec) -2 -4 40 ... compensation for link flexibility, there is really a pronounced improvement in the operational space tracking performance of the tip of the manipulator REFERENCES [1] De Luca A, Siciliano B, “Closed-Form...
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Báo cáo hóa học: " Research Article Validity-Guided Fuzzy Clustering Evaluation for Neural Network-Based Time-Frequency Reassignment" potx
... to detect the underlying structure in data, not only for classification and pattern recognition, but for model reduction and optimization For this reason data vectors are divided into clusters ... computations for each adjacent pair of components present in the signal indicated by subscript n The value of the measure Ri will be close to one for good performing TFDs and zero for poor performing ... concentration performance even for those having no side lobes The modified instantaneous concentration measure for each signal component of an n-component signal z(t) = zn (t) for a given time...
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báo cáo hóa học:" Research Article Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classifiers for Digital Hearing Aids" pot
... clean speech For training, validation, and testing, it is necessary for the database to be divided into three different sets 2685 seconds (≈36%) for training, 1012.5 seconds (≈14%) for validation, ... classifier to fail Therefore, the purpose of this paper is to clearly quantify the effects of the finite-precision limitations on the performance of an automatic sound classification system for hearing aids, ... for hearing aids, with special emphasis on the two aforementioned phenomena: the effects of finite word length for the weights of the NN used for the classification, and the effects of the simplification...
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Báo cáo hóa học: " Research Article Doubly Periodic Traveling Waves in a Cellular Neural Network with Linear Reaction" pdf
... −δ/τ for the following equation yi t − yi t α yi t − 2yi t t t κyi , yi−1 i ∈ Z, t ∈ N 2.13 Therefore, from now on, we assume in 2.2 that α ∈ R, g κf, 2.14 where κ / 0, f x for x ∈ R, or, f x x for ... , for some j, by 4.9 and 4.10 , we have vi i ∈ Z, t ∈ N 4.10 for all i and vi t for any i, t This is contrary to Δ being the least among all temporal periods and Δ > Hence we have vi / t t for ... also have vi t t vi , t vi t vi t ξ v i i ξ/2 for all i ∈ Z By the ∀i ∈ Z, t ∈ N 3.23 t vi ξ/2 for all i ∈ Z and t ∈ N In particular, we have vi For the converse, suppose that j is even or k...
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Báo cáo hóa học: " Neural-Network-Based Time-Delay Estimation Samir Shaltaf" docx
... and three-layer NNs were used for the three input forms Table presents the NN which use the parallel input form, Table presents the NN which use the difference input form, and Table presents the ... which use the single input form The three-layer NNs representation used for the parallel input form is denoted by P-N-M-K-1 notation, where P denotes that the parallel input form is being used, Neural-Networks-Based ... N, the NN for the parallel input form has 2N input nodes for its input layer The network represented by the P-256-10-5-1 notation found in Table represents a three-layer parallel input form structure...
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neural network based adaptive controller design of robotic manipulators with an observer 88 doc
... paper gives the main results for designing such an observer-based adaptive controller for robots using multilayer NNs with sigmoidal activation functions For performance comparison with the conventional ... controller with an observer is proposed by Kim [19] for rigid robotic manipulators, which contains two NNs, one for the observer and the other for the controller The controller design requires ... efficiency Therefore, it is desired to achieve good control performance by using only joint position measurement [18] In order to solve the NN-based adaptive tracking control problem for those manipulators...
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ARTIFICIAL NEURAL NETWORK BASED DSS FOR GAME ONLINE PUBLISHING IN VIETNAM
... khảo • Website: playpark.vn, gamek.vn, gamethu.vnexpress.net, http://forum.gamevn.com/; http://www.gameviet24h.net, http://www.aforgenet.com/ • https://en.wikipedia.org/wiki/Artificial_neural_network ... error: Giá trị lỗi Cài đặt • Ngôn ngữ C# - visual studio 2013 - Net 4.5 • Thư viện : Accord.Net, Aforge.Net • Giao diện đồ họa: Devexpress Xây dựng csdl • Dữ liệu thu thập lưu trữ vào sở liệu phân ... Từ trang tin game tiếng : playpark.vn, gamek.vn, gamethu.vnexpress.net… Từ diễn đàn game: http://forum.gamevn.com/; http://www.gameviet24h.net/ ; Neural networks Ví dụ mạng dẫn tiến: Tổ chức cấu...
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Electricity price time series forecasting in deregulated markets using recurrent neural network based approaches
... 6.8 Enlarged section of Interval Forecasts for Ontario market ……………………… 113 Figure 6.8 Enlarged section of Interval Forecasts for California market with large 113 forecasting range around spiky ... on the test data are shown on the same plot Fig 2.3 Predicted and Actual data for the Load Forecasting Problem in California Market Then this network was tested on the next months data which had ... corresponding predicted load for the hour “n+1” The network was trained using back propagation algorithm gradient descent algorithm The data used for the training was the data for months The trained...
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Artificial neural network based adaptive controller for DC motors
... structure for PM DC motor drive 21 Figure 3.1 Block diagram for the ANN based Adaptive Controller 24 Figure 3.2 The trajectory generated for the DC motor to train the ANN 27 Figure 3.3 Flowchart for ... autopilots for high performance aircrafts A dynamic controller of this type, as opposed to a linear feedback controller, is required to sustain the dynamic performance of the aircraft for the entire ... tested for proper functioning, performance evaluation of the ANNbased adaptive controller is performed through extensive experimentation Artificial neural network based adaptive controller for DC...
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Neural network based multiuser detectors for DS CDMA
... th user spreading waveform l th chip of k th user spreading sequence k th user’s spreading sequence vector of length L k th user’s data bit for i th interval estimated data bit of k th user in ... spreading sequence, pTC (t ) is the pulse waveform defined as 1 for ≤ t ≤ Tc pTc (t ) = 0 otherwise (2.2) The signature sequence waveform is unique for each user and is normalized to have unit ... and number of users in the system etc Simulations for the AWGN channel, performed using MATLAB 6.1, have shown that the error probability performances of our proposed detectors are significantly...
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