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The paper proposed a new image matching algorithm based on improved particle swarm optimization, which can overcome the shortcoming of traditional matching for computering the fitness for every pixel in the searching space. It described the detailed steps of the method in the paper, and the experiment results showed that the method of the paper could get high matching precision and not sensitive to...
In this paper, we present the design, modeling and analysis of particle swarm optimization (PSO) algorithm in very-high-speed integrated circuit hardware description language (VHDL). PSO performs a structured randomized search of an unknown parameter space by manipulating a population of parameter estimates to converge on a suitable solution. This is especially useful for optimizing IIR and nonlinear...
To measure the resistivity distribution of semiconductor wafers, this article applies electrical impedance tomography (EIT) technology to semiconductor resistivity measurements. A new method of Image reconstruction algorithm based on RBF neural network for EIT is proposed. The particle swarm optimization algorithm (PSO) is designed to optimize the RBF network's connection weights. The simulation experiment...
A polynomial y=y 0 +α 1 x+α 2 x 2 +α 3 x 3 +… can be used for matching a non-linear function y=f(x). The key is how to obtain its coefficients. In this paper, a normalized method is presented for matching any non-linear functions. There is a corresponding normalized polynomial y=y 0 +an+bn 2 +cn 3 +…, n=x/x 1 , n 1...
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