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For several decades the remote sensing image classification methods for depicting land cover have gained a great achievements, but with the more multi-source and multidimensional data, the conventional remote sensing image classification methods based on statistical theory have exposed some limitation. So in recent years, artificial intelligence techniques have being applied to remote sensing image...
Through analyzing the importance of component modules of a kind of radar transmitter, both the cathode current of multiple-beam klystron and the ripple voltage of high-voltage power supply are selected as the prediction signals. By studying on their characteristics, a improved GM (1,1) is proposed to predict the state of transmitter, where the idea of metabolism is applied to make the parameters of...
A new moving target detection method based on particle swarm optimization was proposed. The moving target detection problem was transformed into the problem of independent component analysis. The blind source separation algorithm based on modified particle swarm optimization was used for solving this problem. Experimental results show that the method proposed can achieve good results for finding out...
Inspired by the classical PSO method and quantum mechanics theories, this essay presents a new Quantum-behaved PSO (QPSO) algorithm using hyper-chaotic discrete system equation, as hc-QPSO. Our key novelty is to confine all the particles in the identical particle system and use 2-dimensional hyper-chaotic sequence theory and average out the search length to research and consider seasonal fluctuation's...
In order to avoid the complex adjustment of scaling factor and quantization factor in the design of fuzzy controller and the shortcomings that the fuzzy control rules can not be changed once identified, a fuzzy controller with self-optimizing rules is adopted . Particle swarm optimization (PSO) algorithm is used to optimize the parameters of fuzzy controller. A new evaluation function including the...
Enlightened by the combined method (CM) for traditional passive localization of ocean and air based applications, and considering that passive localization is a typical nonlinear filtering and optimal estimation problem, CM for single satellite passive localization is examined based on Particle swarm optimization(PSO), which provides an evolutionary computation method to solve the nonlinear optimal...
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