基于文化算法的PCNN自动系统的研究

Research on automated PCNN system based on cultural algorithm

脉冲耦合神经网络作为当前智能领域研究的热门课题,其多个参数的设置给实际应用造成很大的困难.而文化算法作为新型的进化算法,具有对参数自动寻优的优势,为此,提出一种基于文化算法的脉冲耦合神经网络的自动系统,并通过将其应用于图像分割,将分割结果与经典OTSU阈值分割法比较,验证了该方案的正确性与可行性.

Although pulse coupled neural network is a sensational research subject in current study of artificial intelligence, it is still rather difficult to setup some of the parameters in practical application. But cultural algorithm, as a new evolutionary algorithm, can find the optimal parameters automatically. Therefore, an automatic system based on pulse coupled neural network of the culture algorithm is proposed and applied in image segmentation. The comparison of the segmented images with OTSU and the presented method in the paper proves the correctness and feasibility of the new system.