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The temperature of the burning zone in the acquisition process is not stable and has an important impact on the quality of pellet. In order to improve the burning zone temperature stability, zone of combustion temperature prediction model is proposed based on the improved BP neural network. According to the field data characteristics, using cluster analysis method for data processing in order to reduce...
Feature selection methods are critical in mammography computer-aided diagnosis and clinical decision support systems. However, searching for an optimal or near optimal feature subset is still a difficult task. After examining the problems with both filter and wrapper methods in feature selection, we propose a hybrid feature selection method using both Filter and Wrapper by taking advantage of both...
Operation System of Systems (OSoS) as a new form of modern warfare is proposed, aiming at designing the military organization as a whole to implement the mission. This paper puts forward the organization model of OSoS which including organization task, organization entity and organization relationship. As for the uncertainty of battlefield, this paper makes the structure reorganization analysis and...
Under foggy weather conditions, the contrast of outdoor scene images is often drastically degraded. In this paper, we address the question of restoring the contrast of outdoor scene images from just one degraded image. A simple modified model was derived firstly based on atmospheric scattering models, which describes the mechanism that the apparent contrast of scenes degrades under foggy conditions,...
An adaptive resource allocation scheme for QoS oriented OFDMA system, which schedules two different utility functions for the Real-time/Non Real-time traffic simultaneously, is proposed in this paper. Instead of partial consideration of uniform kinds of QoS, we introduce an updating ratio factor to schedule users of heterogeneous traffic. Due to the complex optimization objective, the general convex...
This paper describes the research of genetic algorithm (GA) based PID for autonomous underwater vehicle (AUV) motion control. A simulation of heading control application is considered using GA and improved GA based PID. The dynamic model of AUV is established. The design method of GA and improved GA based PID is introduced. The heading control design model is obtained by the AUV linearization model...
This paper presents an unknown environment robot path planning algorithm. The robot working environments are expressed by grid model; Using digital potential field generated initial path population, and its optimization find the shortest path, and individual evaluation function were processed fitness function both feasible path and unfeasible path fitness function, and then by increasing the deleted...
In view of low precision and low auto-adapted ability in traditional desulphurization control model, according to the mechanism of hot metal desulphurization process, the RBF nerve network desulphurization agent quantum model based on rough set and genetic algorithm is introduced. This model uses rough set to clean modeling data, uses genetic algorithm to select RBF network structure, and then introduces...
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