本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
提出了一种利用小波神经网络辨识非线性系统多模型故障的方法。
The method for the multiple model failure detection is presented based on wavelet neural network and the designed neural network observer to increase the precision of the identification.
针对同一场景多聚焦图像的融合问题，提出了一种基于小波变换的自适应脉冲耦合神经网络(PCNN)图像融合方法。
Concerning the fusion problem of multi-focus image with the same scene, an algorithm of image fusion based on wavelet transform and adaptive Pulse Coupled Neural Network (PCNN) was proposed.
针对同一场景多聚焦图像的融合问题，提出了一种基于小波变换的自适应脉冲耦合神经网络(PCNN)图像融合方法。
Concerning the fusion problem of multi-focus image with the same scene, an algorithm of image fusion based on wavelet transform and adaptive Pulse Coupled Neural Network (PCNN) was proposed.
应用推荐