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An appropriate selection of kernel function and its parameters is very important for the relevance vector machine (RVM) to achieve a good performance. To overcome the limitation of RVM with single kernel, a multi-scale RVM classification method based on intelligent optimization is proposed. Multiple Gaussian kernels are combined by linear weighting and the kernel parameters are tuned by quantum-behaved...
Particle Swarm Optimisation (PSO) algorithm is known to be better than Genetic Algorithm (GA) as fewer operators are needed in its algorithm. However, it still has some weaknesses such as immature convergence; a condition whereby PSO tends to get trapped in a local optimum. This condition prevents them from being converged towards a better position. Various techniques have been proposed to tackle...
In this paper, in view of the slowness and the locality of convergence for simple particle swarm optimization (PSO) in solving the complex system optimization, a two stage composite particle swarm optimization (TS-CPSO) is proposed as an improved PSO with the strategy of gradual range contraction. The designing ideas and the implementation of TS-CPSO are also given, and the convergence is analyzed...
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