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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]

This is written about me on the diagonal recurrent neural network procedures, may be helpful to you.

详细说明:这是我写的关于对角递归神经网络的程序,或许对你有所帮助。

Neural deficit scores and levels of maleic dialdehyde in plasma were evaluated at 3, 6, 12, 24, 48, 72 hours after ROSC.

血浆丙二醛水平显著升高,在72h略有回降,但仍高于造模前(P〈0.01)。

The good QSPR models for the molar diamagnetic susceptibilities can be constructed from 0 G and 1 G by using multivariate linear regression method and artificial neural network method.

由0 G ,1 G 通过多元线性回归和人工神经网络方法均可以得到良好的预测摩尔反磁磁化率的模型。

RESULTS: The most common imaging finding in NBS patients who had neural parenchymal involvement was a mesodiencephalic junction lesion with edema extending along certain long tracts in the brain stem and diencephalon in 46% of the patients.

结果:中枢神经系统实质受累的神经白塞病患者最常见的影像特点是病灶位于中脑-间脑接合处,周围水肿带延长轴向脑干、间脑延伸,约46%的患者可见此改变。

Improtant reasons are that fuzzy logic is not differentiable and the effective neural network needs differentiability.

其根本的原因是普通模糊逻辑是不可微的,而最有效的神经网络却要求可微性。

The existence,uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delay s were studied without assumption of boundedness and differentiability of activation functions.

在没有假定激励函数有界、可微的情况下,研究包含分布时滞的动态神经网络平衡点的存在性、唯一性和全局指数稳定性。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一,然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点,因此,本研究提出一个梯度预测搜寻法则(gradient forecasting search method, GFSM)来改善传统梯度法的缺点,用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性;而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素,传统统计为基础之预测方法的缺点是需要较大量的数据进行预测,因此计算复杂度高,灰色预测模型具有建模资料少且计算复杂度低等优点,然而灰色预测理论以连续之微分方程式为基础,并且透过一些数学上的假设与近似,将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测,这样的作法不尽合理,且缺乏数学理论上的完备性,因为在转换过程中已经造成建模上的误差,且建模过程仅考虑相邻的两个资料点关系,无法正确反应数列未来的变化趋势。

It turns the problem of differential game into the problem of maneuver identification and optimization control based on neural networks.

阐述了微分对策理论在实际应用中存在的问题,并从动态冲突的实际过程出发,将神经网络理论与分层式智能控制理论相结合,来模型化微分对策问题。

Due to the present status of differential game guidance law,a neural network is introduced into DGGL in this paper.

根据微分对策制导律目前面临的困境,本文尝试将神经网络引入微分对策制导律。

Guidance law ; Differential game ; Neural network ; BP model.

制导;微分对策;网络;模型

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