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The extreme learning machine (ELM) possesses the advantageous features of the fast learning speed, great generalization performance and high precision. However, the randomness of the parameters will influence its generalization performance and precision greatly. This paper proposes a learning algorithm which is based on the differential evolution extreme learning machine (DE-ELM) for parameter optimization...
For the design of IIR digital filters, one challenge is their inherent non-linear phase responses. The double-ellipse model controls the phase error and magnitude error separately and is a good candidate for near linear-phase IIR filter design. Another challenge is their stability conditions. The stability-triangle condition defines a necessary and sufficient stability domain of an IIR filter, and...
Intelligent optimization algorithm based on quantum behavior is the hot spot of intelligent computation. Quantum clone genetic algorithm has many shortcomings such as: low efficiency, poor population diversity, slow convergence speed, easy to trap in local minimums, blindness in global optimal searching direction and so on. An improved quantum clone genetic algorithm (IQCGA) is proposed in this paper...
The DEM of Seabed is the core and foundation in the analysis of chart. In this paper a method of constructing the DEM of seabed based on uncertainty is proposed. Firstly, according to the uncertainty of the soundings data, the distributing law is explained and the interpolation model is constructed. Secondly, according to propagating law of the uncertainty, the DEM of Seabed based on uncertainty of...
This paper based on the results of the data, which are selected from villa topographic data and pre-processed. The paper includes the cluster of spatial location and the calculation of villa area parameters. The idea of cluster in data mining is adopted to analyze the results of pre-process. The cluster finished the transform from continuous region to continuous area through discretization. Small...
Fine-grained parallel immune algorithm (FGIA), though a popular and robust strategy for solving complicated optimization problems, is sometimes inconvenient to use as its population size is restricted by heavy data communication and the parallel computers are relatively difficult to use, manage, maintain and may not be accessible to most researchers. In this paper, we propose a FGIA method based on...
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