Chin-Chen Chueh

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The discrete-time fractional Gaussian noise (DFGN) has been proven to be a regular process. According to Wold and Kolmogorov theorems, this process can be described as an autoregressive (AR) model of an infinite order. An estimator for the Hurst exponent based on autoregressive power spectrum estimation has been proposed, but without considering order(More)
Recently, a study of particle swarm optimization (PSO) with considering more local best particles has been proposed to improve the performance of optimization. Better performance of considering some local best particles shows that the proposed two types of variants of PSO have potential advantages over the standard PSO. The basic logic is to exploit all(More)
Studies have shown that the limit on the updating formula of velocity in particle swarm optimization (PSO) can produce good performance. Inspired by the logic, we introduce the concept of velocity into bare bones particle swarm optimization (BBPSO), which doesn't consider the velocity term, hence no constraint on velocity. The velocity term is an additional(More)
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