吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 2026-2033.doi: 10.13229/j.cnki.jdxbgxb201506042
高明亮, 于生宝, 郑建波, 徐畅, 张堃, 栾卉
GAO Ming-liang, YU Sheng-bao, ZHENG Jian-bo, XU Chang, ZHANG Kun, LUAN Hui
摘要: 针对神经网络算法在非线性反演中容易陷入局部极小、收敛慢、反演精度差等问题,提出了将粒子群优化(Particle swarm optimization)算法与BP神经网络(Back propagation neural networks)进行混合反演(简称PSBP)。最后,通过经典的地电模型对本文方法的有效性进行验证,结果表明,本文方法与线性反演方法、BP神经网络反演方法对比,具有明显的优势,并取得了很好的反演结果。
中图分类号:
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