摘要
将TSK模糊逻辑系统与神经网络结合,设计五层模糊神经网络系统,采用量子粒子群(QPSO)智能算法调整模糊逻辑系统的参数,将所设计的智能系统应用于国际黄金价格的预测中。通过比较QPSO和BP算法的性能,预测性能指标和仿真结果表明所提出的设计方法是有效的,与BP算法相比取得了更好的效果。
By combining the TSK fuzzy logic system with the neural network, this paper designs a five -layer fuzzy neural network system. The quantum behaved particle swarm optimization （QPSO） intelligent algorithm is used to tune the fuzzy logic system parameters, and the design of intelligent system is applied in the prediction of the international gold price. By comparing the performance of QPSO and BP algorithm, the performance index and simulation results illustrate the effectiveness of the proposed design method, which obtains better effect in contrast with the BP algorithm.
出处
《辽宁工业大学学报（自然科学版）》
2016年第6期356-360,共5页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
辽宁省高校基本科研业务资助项目(JW201615421)
