针对高精度陀螺稳定跟踪系统，提出了一种基于小波基函数神经网络的非线性系统的一步超前预测控制算法。
In this paper, a one-step ahead predictive control algorithm based on wavelet neural networks is proposed for the gyro stability tracking system with high accuracy.
建立了一种小波软阈值径向基函数神经网络(STWRBFN)方法，同时定量分析了多组分混合物。
Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
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