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The applications of Neural Network (NN) in VV&A of complex simulation system were researched and discussed in this paper. Then the survey of accreditation method in simulation system was introduced briefly and the disadvantages of the traditional accreditation method were pointed out. After that, the relation between the accreditation and reliability evaluation was analyzed. Finally, a method...
In this paper, a double artificial neural network (ANN) algorithm has been established for calculating the octane number (ON) of gasoline from the results of multidimensional gas chromatography analysis. Multidimensional resolution column was applied to obtain the results of the detailed hydrocarbon analysis. The double ANN regression model has been established between the results of the detailed...
The K-Nearest Neighbor Algorithm (K-NN) is an important approach for automatic text classification. In this paper, cluster was applied In order to overcome the disadvantages of the traditional K-NN algorithm. First Clustering was utilized in training set through an improved K-mean approach to select the most representative samples as cluster center. Then we compute the comparability between the testing...
In this paper, based on a matrix factorization a novel structure is proposed for digital system implementation and adaptive filtering applications. The equivalent state-space realization of such a structure is an input-balanced realization. Like the normalized lattice structure, it contains a series of Givens rotations. This proposed structure is simpler than the normalized structure and can be implemented...
RVM enables sparse classification and regression functions to be obtained by linearly-weighting a small number of fixed basis functions from a large dictionary of potential candidates.TOA on RVM has O(M3) time and O(M2) space complexity, where M is the training set size. It is thus computationally infeasible on very large data sets. We propose I-CBA based on CBA, I-CBA set iteration initial center...
Direction of arrival (DOA) estimation is a very important technology for smart antennas, which have been widely used in many applications such as radar, communication and sonar etc. Various techniques for DOA estimation have been proposed. The commonly used techniques for DOA estimation are subspace based methods, such as multiple signal classification (MUSIC) and its variations. However, these methods...
On the basis of study of the characters of tide wave and harmonious analysis, a functional neural network tidal prediction model which could achieve the long-term tidal prediction is proposed. This model is adopted to practical ECDIS tide information processing module, which realizes the tide information prediction inquire of any time in most of the ports in Chinese sea area, and ensures the ships...
pi-calculus is a name-passing calculus based on CCS. It can model distributed communicating system of dynamic topo-structure. Timed distributed pi-calculus (TDpi-calculus) is presented as a rigorous framework for describing distributed systems with time and resource constraints. The real-time distributed virtual-test system in military field has the feature of different applications with different...
Recently, automatic text categorization has made rapid progress and been one of the hotspots in the information processing field. Text tendency classification is one type of text categorization, which has very important applications in information retrievals bad information identification and filtering , content security management and analysis of public opinion tendency. To aim at the important influence...
In this paper, the problem of stochastic stability for a class of time-delay Hopfield neural networks with Markovian jump parameters is investigated. The jumping parameters are modeled as a continuous-time, discrete-state Markov process. Without assuming the boundedness, monotonicity and differentiability of the activation functions, the result for delay-dependent stochastic stability criteria for...
This paper investigates the problem of robust asymptotical stability for uncertain stochastic neural networks with discrete and distributed delays. Based on Lyapunov-Krasovskii functional and stochastic analysis method, new stability criteria is presented in terms of linear matrix inequalities to guarantee stochastic neural networks to be robustly asymptotically stable for all admissible parameter...
Videos in an intersection were taken synchronously by panoramic camera and close-range camera, the image was sampled by close-range camera in calibrated location of panoramic camera, car license plate is located in this close-range image. Aiming to some features of car license plate, edges are detected by using improved color Sobel operator, and the binary image is processed by adopting the method...
Based on the parametric velocity synthetic aperture radar (VSAR), the novel model of VSAR with azimuth multi-look processing is first established in this paper. Furthermore, Cramer-Rao bounds (CRBs) are derived for the VSAR model parameters estimation based on the maximum likelihood (ML) methods. It is shown that the clutter parameter estimation accuracy may be improved via azimuth multi-look processing...
The electromagnetic characteristic and rotor vibration characteristic of turbine-generator are analyzed when rotor winding inter-turn short circuit fault has happened. This paper reveals that exciting magnetic force Ff is constant in a fixed condition whereas the exciting current If increases in case of rotor inter-turn fault. This paper also finds relevant characteristic parameters. Based on the...
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