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neural相关的网络例句

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与 neural 相关的网络例句 [注:此内容来源于网络,仅供参考]

The Problem is transformed into the solution of an equilibrium point of a neural network by performing a series of transformation steps.

并实施一系列的转换步骤,将这一问题化为两个神经网络的求解平衡点问题。

Notice that the solvng ELP problem is equivalent to determine a nonlinear mapping,using the nature that BP neural networks has the parallelism and the capabilities of intrinsic nonlinear mapping,we propose a methods of using back error propagation of ne...

而求解线性规划问题的许多有效方法如单纯形法,Karmarkar's方法等却无法直接用于推广的线性规划问题的求解,注意到推广的线性规划问题等价于一个非线性映射,利用BP神经网络的本质并行性和高度非线性处理能力,该文提出了一类求解推广的线性规划问题的BP神经网络方法,它具有网络构建简单,求解精度高,计算量小等优点,实验结果表明其高效性。

We present some new topologies of components and devices, embedded passive circuits and interconnections with good EM properties which can meet development of microwave and millimeter wave LTCC technology and domestic state of arts and crafts inland. These algorithms are applied to optimization of LTCC circuits by using relevant production and applicable techniques in SM study, i.e. optimizing and designing various LTCC capacitors and inductances by original space mapping, LTCC transitions by aggressive space mapping and equivalent lumped-element LTCC filters by knowledge-based aggressive space mapping and neural space mapping.

并且针对微波、毫米波LTCC技术发展需要和国内加工水平,探索具有良好电磁特性的新型组件拓扑结构及其内嵌无源电路、互连实现形式,利用在空间映射研究中取得的成果和开发的实用技术,实现LTCC电路的优化,主要是采用初始空间映射方法优化设计了LTCC电容电感、采用主动空间映射方法LTCC过渡、采用基于知识主动空间映射方法与神经网络空间映射方法优化设计了LTCC等效集总元件滤波器等。

On the basis of analyzing the characteristic of the basic immune algorithm and utilizing the ergodic property of the chaotic sequence, an adaptive immune evolutionary algorithm combined with chaotic sequence is proposed and used at the training of the neural networks.

在分析基本免疫算法优化性能的基础上,利用混沌序列的遍历性,给出了一种嵌入混沌序列的自适应免疫进化算法,并将其应用于神经网络的训练中。

Based on a Hopfield neural network mode for combinational circuit test generation, a test generation algorithm with global searching ability is proposed. This algorithm is the combination of chaotic searching with gradient algorithm. By means of the inherent stochastic and ergodic property of chaotic searching, the problem of being trapped in local minimum of gradient algorithm can be solved.

基于组合电路测试生成的离散Hopfield神经网络模型,将混沌搜索与Hopfield网络的梯度算法相结合,利用混沌搜索的内随机性及遍历性来克服梯度算法易于陷于局部极小的缺点,形成一种具有全局搜索能力的测试生成有效算法。

During the training of the neural network, the influence, which is caused by the various network parameters, on the error function is discussed emphatically and the traditional BP algorithm is improved by importing the weight coefficient βand error function coefficient α.

在神经网络的训练过程中,在快速BP算法的基础上做了一些有效的改进,如:引入权值系数β,选取相应的误差函数系数α等。

To improve the accuracy of condition prediction for thousand-meters scale cable-stayed bridge under the influences of indeterminate factors such as measurement noise and initial component error during the construction process, a condition prediction method based on evidence theory and grey-neural-network model was proposed.

为解决千米级斜拉桥在施工过程中由于观测噪声及初始构件误差等因素影响下的结构响应预测问题,提出了D-S证据理论与灰色神经网络结合的混合识别方法。

The error equation of the fault observer is constructed based on a neural network prediction. The stability condition of this observer is proved.

在此基础上,建立了基于神经网络预侧的故障观测器误差方程,并证明了该观测器稳定的条件。

According to the Lyapunov stability theory, the weight update law of neural network, the adaptive law of error bound and the feedback control are obtained, thus the stability of closed-loop control system is ensured.

基于Lyapunov稳定性理论,得到了神经网络的权值更新律、误差界自适应律及反馈控制律,确保了闭环控制系统的稳定性。

According to the Lyapunov stability theory, the weight update law of neural network, the adaptive law of error bound, the stabilizing function and the control are obtained, thus the stability of closed-loop control system is ensured.

基于Lyapunov稳定性理论,得到了神经网络的权值更新律、误差界自适应律、稳定函数及控制律,确保了闭环控制系统的稳定性。

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