Advanced Materials Research Vols. 989-994

Abstract: Time complexity is an important measure of algorithm. The main purpose of this paper is to research the time complexity of the second category of Padé weight function neural network and find out the factors which affect its time complexity. In this paper, firstly, the second category of Padé weight function neural network algorithm is introduced. Then through the analysis of the key steps of the algorithm, the time complexity is given. After MATLAB simulation, the experimental results verify the theoretical analysis of the results. Therefore, its time complexity is related to input dimension, output dimension and the number of training samples.

Abstract: To assess the safety situation in air traffic control effectively, a comprehensive assessment method based on RBF neural network is proposed. At first, the safety assessment principle based on RBF neural network is introduced, and then the safety assessment index system for air traffic control is established from four aspects of human, machine, environment and management. Simulation example of ATC safety assessment gives us a satisfactory result for RBF neural network.

Abstract: Highway traffic safety facilities system evaluation plays an important role to relieve highway safety problem. From the perspective of system engineering, the influence factors of the current situation are comprehensively considered, the freeway traffic safety facilities system evaluation index system is established, and the application of ant colony neural network evaluation model is constructed. The purpose is to provide the beneficial references for freeway traffic safety facilities system evaluation.

Abstract: For passive RDX, fluent software was applied to simulate the cook-off for explosive of different charge density at heating rates of 1, 5, 10k/min to improve thermal safety in the ammunition storage, transport and battle. The results show that the heating rate has great effect on ignition time and position for passive RDX. Charge density also has great influence on ignition time but no influence on ignition position. The ignition time decreases and ignition position moves from the center to the two ends of the cylinder edge with the increase of the heating rate. The ignition time increases with the increase of charge density under the same condition. Therefore, increasing the charge density can effectively improve the thermal safety of ammunition.

Abstract: Many machine learning approaches in the field of Artificial Intelligence (AI) have been developed. Most of them rely on using large data sets to build up knowledge. However, the traffic system usually has only few data. In this article, the so-called adaptive neural fuzzy inference systems (ANFIS) is employed to predict the traffic time-series with few data, including flow, speed and occupancy

Abstract: In this paper, under the environment of saline soil in the western region of Jilin Province, a series tests research on the durability of concrete has been made. The test results show that: there are a lot of factors that influence the durability of concrete, including the concrete itself internal factors and the external environmental factors. The correlation degrees between these influence factors and the durability of concrete are uncertain. In this paper, a grey correlation degree method has been used to analyze the correlation degrees between these influence factors and the dynamic elastic modulus loss rates of concrete, in order to determine the influence degree of each factor on the durability of concrete.

Abstract: Camshift is an efficient single-feature algorithm based on color-kernel for simple object tracking. However, it’s easy to be interfered by sudden illumination variation or the similar color object in the background. Experiments show that the improved algorithm can track object accurately in dealing with sudden illumination variation and the similar color object in the background, and can meet the requirements of the actual task of object tracking.

Abstract: Wave heating is an important way to implement the controlled fusion. The propagation and absorbability of wave in the plasma are described by the two-fluid equations and Maxwell’s equations. A numerical algorithm based on the FDTD method and the MacCormack scheme is designed. The numerical simulation based on parallel computing is carried out to verify the validity of the algorithm and simulation.

Abstract: Electromagnetic forming is a kind of processing technology that use lorentz force to make rapid prototyping of metal workpiece, which can significantly improve the metal forming performance,and it is expected to become an emerging technology that alternative to traditional machining to process light alloy materials. Based on the understanding the basic structure of the electromagnetic coupling on the basis of physical process of electromagnetic forming, this article adopt ANSYS sequential coupling method to simulate the electromagnetic coupling process of electromagnetic structure, and analysis of tube electromagnetic forming and plate of workpiece in the process of free bulging deformation behavior. The solenoid coil tubing have an axis of symmetry due to bulging, and it’s electromagnetism load and constraint has symmetry, so its formability is uniform in hoop direction. When the plank free bulge, the distribution of the electromagnetic force caused by the flat spiral coil is not uniform,and the artifacts accelerate fastest in the part of the radius of coil 1/2, but the center area of the workpiece’s forming height is highest.

Abstract: To improve the learning capability of Radial Basis Function (RBF) neural network, a RBF neural network algorithm based on Extended Kalman Filter (EKF) is proposed. First the basic idea of EKF algorithm and RBF neural network are introduced, and then EKF is used to optimize the parameters combination of RBF neural network to obtain the better model. The experiment proves its feasibility.