Papers by Keyword: Iterative Algorithm

Abstract: Most quantum error-correcting codes constructed are stabilizer codes which are potentially more efficient and significant.Under the concept of graph states theory, we focused on 7-qubit graph states characteristics of stabilizer codes, by calculating and analyzing the entanglement properties of graphical codes. For the instance of code ((7,1,3)) with 16 inequitable graphs, the figure of entanglement properties can be measured.And we analyzed 7-qubit graph characteristics of stabilizers codes and calculated the entanglement measures by iterative algorithm.

Abstract: Accurate classification of text is a basic premise of extracting various types of information on the Web efficiently and utilizing the network resources properly. In this paper, a brand new text classification method was proposed. Consistency analysis method is a type of iterative algorithm, which mainly trains different classifiers (weak classifier) by aiming at the same training set, and then these classifiers will be gathered for testing the consistency degrees of various classification methods for the same text, thus to manifest the knowledge of each type of classifier. It main determines the weight of each sample according to the fact is the classification of each sample is accurate in each training set, as well as the accuracy of the last overall classification, and then sends the new data set whose weight has been modified to the subordinate classifier for training. In the end, the classifier gained in the training will be integrated as the final decision classifier. The classifier with consistency analysis can eliminate some unnecessary training data characteristics and place the key words on key training data. According to the experimental result, the average accuracy of this method is 91.0%, while the average recall rate is 88.1%.

Abstract: Aiming at the problem of the interference of extrusion tool handle and workpiece in the process of 5-axis CNC sheet forming, an interference correction method based on one-dimensional searching algorithm of iterative of optimal design is presented in this paper. Using the iterative algorithm, the optimal critical posture of extrusion tool which the interference is corrected with the given accuracy requirement is found out, and then the interference correction angle is calculated. Taking the cutter location point (CLP) as a rotation center, the extrusion tool is rotated the correction angle to achieved interference correction. The case study shows that this method is simple, effective and it can correct the interference with the given accuracy value.

Abstract: In order to study the optimal network of feeder bus lines for rail stations, this paper established an optimization model with the objective of minimizing the consume time and operating costs of unit traveler, and proposed an iterative algorithm to solve the model and then used an example to describe the practicality of the model and the algorithm.

Abstract: The time-delay delay phenomenon is a kind of widespread physical and biological phenomenon. The existence of time-delay not only give the stability of system analysis and controller design brings great difficulties but also usually make the systems unstable and even cause the system performance deteriorated. We use the adaptive dynamic iterative algorithm to solve this equation. By using the neural network to achieve the iterative algorithm, get the optimal control law of the systems with time delay. The simulation results show that the adaptive dynamic programming method to solve the optimal control of the nonlinear system is effective.

Abstract: Based on the dynamic wave routing algorithm of SWMM model, this paper simulated the residential area drainage system. Then combining with the status reports, such as link summary, node summary, time series plot and the link profile plot, the drainage system of residential area is studied. And the drainage capacity of drainage system, the status of surcharging node and surcharging conduit under heavy rain situation are given. In accordance with the requirements of criterion, this paper used the method of iterative algorithm to improve the drainage system, and finally built the drainage system which meets 2 year storm.

Abstract: Coiling temperature control (CTC) is very important to the quality of the strip steel in Hot Strip Rolling Mill. In the paper, genetic algorithm and neural network method to predict coiling temperature on hot strip mill were put forward. The genetic-neural network was trained and checked with actual production data. The result indicates that the method can real-time predict the strip coiling temperature. The on-line prediction model and step track method has been put into use. The result shows that the method can settle lag influence in feedback control and the CTC control precision is improved greatly.

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is considered as an important technique for future wireless communications. In addition, OFDM has a better performance at inter symbol interference (ISI). One of the major disadvantages of the multi-carrier modulation is about the sensitivity of the performance to a frequency offset. In this paper, we propose an iterative algorithm of frequency offset estimation for the OFDM system. The fundamental algorithm of our iterative algorithm is the frequency pilot aided algorithm. When we get a result with the fundamental algorithm every time, we use the result to estimate for a second time. The algorithm we proposed does not require some additional pilots or changing the data structure of the fundamental algorithm.

Abstract: Linear system is very seldom in actual control works, so there is more engineering significant of researching on the actual nonlinear system. Time delay phenomenon is the objective phenomenon exists in nature. Neural network based on adaptive dynamic programming principle is selected to implement algorithm. The algorithm contains model network training, H network training for time delay function, critic network training. Before running this iterative algorithm, training the model network first, the model uses a three-layer BP network to realize. Time delay function network H(K) is to approximate the functional relationship between the current control input and the delayed input. The critic network is used to approximate system performance function. The simulation results show that the proposed iterative adaptive dynamic programming can solve for the optimal control of delay nonlinear systems.

Abstract: This paper studies the problem of inventory and distribution joint optimization for two level logistics system of a supplier and multiple clients by building the model of inventory and distribution joint optimization based on VMI to reach the goal of minimizing the total system cost. Moreover, this article not only designs the iterative algorithm to solve the model, and determine the optimal inventory and distribution program from the perspective of system optimization, but also verifies the validity of the model and algorithm through using MATLAB software.