小神经

In the end, wavelet neural network after being trained is used to approximation of function to performance good

本文提出的遗传算法利用分级染色体对小波神经网络的结构和权值进行编码，遗传算法联合进化规则来构建和训练小波神经网络，同时对网络进行进化。

Themethod has global optimization ability. The conjuncture point of the ant colony optimization andthe Marr WNN has been found.

本论文找到了蚁群算法与Marr小波神经网络的结合点，并做了相应的改进，首次提出了基于蚁群优化的小波神经网络模型。

This paper has given a thorough investigation into theapplication of BP neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data.

文摘：对BP神经网络在重力密度界面反演以及小波分析在位场分离上的应用进行了深入的研究，进而对小波神经网络在重磁资料反演中的应用前景进行了分析、评价。

We use wavelet neural network to construct the nonlinear cointegration function, and give the DFP algorithm for network training.

提出了利用小波神经网络逼近非线性协整函数的方法，并给出了训练小波神经网络的变尺度算法。

METHODS: The right peroneal nerve was transected and an epineural window of 1 mm was created on the neighboring tibial nerve.

表皮生长因子组：切断右侧腓神经，在邻近的胫神经干外膜上开一1 mm小窗，将腓神经远端吻合到胫神经干侧方开窗处。

A group of 10 Wistar rats had the peroneal nerve sectioned,and the distal ending was sturued to the lateral face of the tibial nerve after removing an l mm epineural window.

实验将Wistar大鼠一侧腓神经切断，在胫神经外膜上开一1 mm小窗，将腓神经远端与胫神经作端侧吻合。

Using Wavelet neural networks, wavelet decomposition will constitute the basis function of the implicit function neurons.

详细说明：用小波构造神经网络，将小波分解的基函数构成神经的隐函数。

And point out that laxation type and densification type of wavelet-neural network will play an important role in non-destructive testing of wood material.

并提出小波、人工神经网络以及松散型和紧致型小波神经网络将在木质材料的无损检测中起重要的作用。

Secondly, contraposes the limitation of the traditional harmonic current detecting method based on neural network, presents the method that combines the neural network and auto adaptive harmonic current detecting method based on the principle of noise each other eliminating.As the characteristics that are small calculative quantity, fast converge, without local minimal point of Redial Basis Function, this dissertation forms a new harmonic current detecting method based on RBF.

其次，针对传统的谐波电流检测方法的缺陷，提出将神经网络与基于噪声抵消原理的自适应谐波检测相结合，利用径向基函数运算量小、收敛快、无局部极小值等优点，构造了一种基于径向基函数神经网络的谐波电流检测方法，仿真结果表明该检测方法具有很好的动态响应及畸变电流检测精度。

Aiming at the disadvantage of conventional BP neural network, such as selecting parameter values by the empirical method, slow convergence speed and easy trap into local minimum points, this paper designs an improved BP neural network system. In order to improve the network convergence rate and reduce the training error, this paper optimizes the initial connecting weight value of neural network by the use of ant colony algorithm and trains artificial neural network by Levenberg-Marquardt algorithm.

针对常规BP神经网络参数的经验式取值方法以及收敛速度慢，容易陷入局部最小点等缺陷，设计了一种改进的神经网络系统，利用蚁群算法优化神经网络连接权初值，并采用LM算法对人工神经网络进行训练，提高了网络的收敛速度，降低了训练误差。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。