A multiuser detection method based on adaptive wavelet network is proposed.
提出了基于自适应子波网络的多用户检测方法。
An adaptive sliding mode control based on fuzzy wavelet network is proposed to guarantee the effects of the tracking error and external disturbances can be attenuated to a specific attenuation level.
提出了一种自适应模糊小波神经网络的滑模控制策略，保证系统的跟踪误差和对外界干扰的抑制被衰减到期望的程度。
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.
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。
Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.
自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
In this paper, an efficient engineering classification of ship noises based on a local adaptive wavelet neural network is presented.
提出了一种用于船舶噪声分类的局域自适应子波神经网络分类方法。
Combining information entropy, wavelet analysis with neural network, an adaptive control system and an adaptive control algorithm are presented for machining process based on wavelet neural network.
把信息熵、小波分析和神经网络相结合，提出了基于小波神经网络的加工过程自适应控制系统度其自适应拉制算法。
The good local amplification and multi-resolution characteristic make the wavelet network have strong adaptive capacity, fast convergence speed and high precision of prediction.
良好的局部放大特性和多分辨率学习特性使得小波神经网络比神经网络有更强的自适应能力、更快的收敛速度和更高的预报精度。
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。
The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network.
小波神经网络的训练采用自适应调整学习率及动量系数的方法，以避免陷入局部极小值。
A soft-measurement model based on the adaptive wavelet neural network was developed to measure the total mass flow-rate of oil-water two-phase flow.
采用的方法中构建了基于自适应小波神经网络的油水两相流质量流量软测量模型，实现了两相混合总质量流量的测量。
A soft-measurement model based on the adaptive wavelet neural network was developed to measure the total mass flow-rate of oil-water two-phase flow.
采用的方法中构建了基于自适应小波神经网络的油水两相流质量流量软测量模型，实现了两相混合总质量流量的测量。
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