摘要
该文给出了一种利用Ｌｅｖｅｎｂｅｒｇ－Ｍａｒｑｕａｒｄｔ最优化算法来改进ＢＰ神经网络的方法。通过仿真试验，证明了改进的ＢＰ算法具有收敛速度快和精度高的特点。为了进一步提高ＢＰ网络拾取地震波初至的抗干扰能力，该文提出了应用小波变换对地震波信号进行预处理来消除噪声影响。该方法经实际应用取得了满意的效果。
An improvement method on BP artificial neural network by use of Levenberg - Marquqrdt optimization algorithm is presented in this paper. The simulated test proves that the improved BP algorithm possesses the characteristics of fast convergence and high accuracy. To enhance the antinoise ability of this algorithm for detecting the first arrivals on seismic waves, the paper applies the wavelet transform to conduct seismic wave data preprocessing for eliminating the influence of noise. Satisfactory results are Obtained in practical application.
出处
《勘察科学技术》
1999年第4期61-64,共4页
Site Investigation Science and Technology
关键词
BP神经网络
小波变换
地震波初至
地震勘探
BP artificial neural network
wavelet transform
optimization
first arrivals of seismic waves
