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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 characteristics of event related desynchronization/synchronization/ signals that are evoked by imaging left hand and right hand actions are analyzed and extracted and then the BP neural network is used to identify the characteristics by class to distinguish directions of imagined actions and produce command to control external devices like wheelchair .mouse etc.

本文通过分析和提取左、右手两种想象动作诱发的事件相关去同步/同步信号特征,并采用BP神经网络对特征量进行模式分类识别,以区分想象动作的意图,进而形成可用来控制轮椅、鼠标等外部机电设备的控制指令。

It was demonstrated that the neural network showed its good performance on interpolation and extrapolation.

另外,还验证了所建网络不仅具有好的内推能力,而且具有一定的外推能力。

The effect of noises on the method is studied in the numerical simulations, and the extrapolation ability of the neural network is discussed.

并在数值算例中讨论了噪声对该方法的影响,同时也讨论了网络的外推性能。

Bring forward a kind of learning algorithm fitting on the base of spline function, because the spline function has good flexibility and quadratic smoothing property, the search problem of network weight functions training can be converted into the resoluting extreme value problem of the plurality function through using spline function to represent network input and link weight functions, thus the PNN can be trained with the help of the existing neural network learning algorithms;④build a kind of learning algorithm base on the alternate of Walsh function, the complexity of network computing can be decreased through using the complete orthogonality of Walsh function corollary.

应用结果表明该算法收敛速度快,稳定性好;③提出了一种基于样条函数拟和的学习算法,由于样条函数具有很好的柔韧性和二次光滑性,将网络输入函数和连接权函数用样条函数的形式表示,可把网络权函数训练的函数寻优问题转换为多元函数求极值的问题,从而可借助于现有的神经网络学习算法训练过程神经元网络;④建立了一种基于Walsh函数变换的学习算法,利用Walsh函数系的完备正交性,可大大降低网络计算的复杂度。

Simulation results show the convergent speed of the improved network is much better than that of traditional neural network, and can effectively avoid local extremum.

仿真结果表明该改进网络收敛速度明显优于传统网络,能有效避免局部极值问题。

During early neural development, many intrinsic and extrinsic factors affected the determination of cell fate.

在神经系统早期的发育中,有许多内在及外在的因素会影响细胞命运的决定。

This model which integrates the space and time factor, is more like biology neural network.

该模型综合考虑了空间和时间因素,更加接近于生物神经元。

This method simultaneously had the faculty that fuzzy theory could process uncertain or inaccurate information and the self-study capability of the neural network, which effectively enhanced the fault diagnosis's technical level.

该方法同时具备了模糊理论的处理不确定和不准确信息的能力和神经网络的自学习能力,有效地提高故障诊断的技术水平。

The cause of the target fade-out in Neural Network nonuniformity correction scheme for infrared focal plane arraywas studied. Based on analyzing the strength and limitation of edge-directed NN scheme and nonuniformity correction combining one-point calibration and NN-NUC, a new combinational algorithm for nonuniformity correction was proposed.

中文摘要:分析了传统神经网络非均匀性校正算法在空域处理过程中产生目标退化的原因,在总结基于边缘指导的神经网络校正算法与一点定标和神经网络结合的校正算法的基础上,提出了新的组合校正算法。

Such situations always consume much amount of medical cost. In order to solve these afflictive problems, the retrospective patients' medical history data to the amount of 3496 from one medical center hospital in Taipei were employed in this research. These data include both faller and non-faller's Electronic Medical Records. The objective of this research is to establish an Artificial Neural Networkmodel combined with EMR for the prediction of inpatient falls. Such method could be further used to provide a safe care for the patients and reduce the medical cost.

为解决长存於各医疗院所之此一困扰问题,本研究将以回溯性之方式收集台北市某医学中心住院病患电子病历资料(含三年跌倒组及非跌倒组计3496笔),希望藉由本研究所建立之类神经网路模型,进一步地准确预测住院跌倒之发生,以确保病人安全,降低医疗成本。

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