Polarization beam pattern synthesis based on particle swarm optimization
نویسندگان
چکیده
منابع مشابه
Pattern Synthesis of Antennas Based on Particle Swarm Optimization Algorithm
Multiplexing Antenna Arrays is the rapid development antiinterference key technology of 4G mobile communication. The core is the direction of pattern synthesis. Yet some of the algorithm has the problem of needing lots of data, slow speed of optimization and convergence accuracy. In this paper the improved antenna pattern synthesis based on particle swarm optimal algorithm is presented. Simulat...
متن کاملOPTIMIZATION OF PLACEMENTVOLTAGE OF PIEZOELECTRIC ACTUATORS ON AN L-SHAPE BEAM USING PARTICLE SWARM OPTIMIZATION ALGORITHM
In this paper, controlling the location of the tip of an L-shape beam under gravity field is investigated. The beam is covered with piezoelectric patches. The gravity filed moves the tip of beam downward and the actuators with induced voltage move the tip to the previous location. to optimize the best location and voltages for actuators, the particle swarm optimization algorithm code is develop...
متن کاملS3PSO: Students’ Performance Prediction Based on Particle Swarm Optimization
Nowadays, new methods are required to take advantage of the rich and extensive gold mine of data given the vast content of data particularly created by educational systems. Data mining algorithms have been used in educational systems especially e-learning systems due to the broad usage of these systems. Providing a model to predict final student results in educational course is a reason for usi...
متن کاملMultimodal Pattern Recognition Through Particle Swarm Optimization
In this paper we introduce the idea of descriptor combination by Particle Swarm Optimization and its applications for classification purposes using a recently pattern recognition technique called Optimum-Path Forest (OPF), which interprets the samples of the dataset as the nodes of a given graph, and each arc is weighted by the distance between the corresponding nodes. The method combines diffe...
متن کاملParticle swarm optimization for point pattern matching
The technique for point pattern matching (PPM) is essential to many image analysis and computer vision tasks. Given two point patterns, the PPM technique finds an optimal transformation for one point pattern such that a distance measure from the transformed point pattern to the other is minimized. This paper presents a new PPM algorithm based on particle swarm optimization (PSO). The set of tra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2012
ISSN: 1349-2543
DOI: 10.1587/elex.9.1648