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neural process相关的网络例句

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与 neural process 相关的网络例句 [注:此内容来源于网络,仅供参考]

The phase space reconstruction theory of chaotic dynamic system, in combination of the non-linear reflecting and pan-capacity of neural network, can be used to establish the prediction model; and a kind of new prediction method is suggested to realize the complete tracing of phase point evolution process and to predict "the price nails", whereby improving the prediction accurateness and effectively solving the problem of negative prediction, with the satisfactory results obtained.

采用混沌理论预测系统边际电价针对我国电力市场电价变化特点,利用电价和负荷时间序列的混沌特性,重构准确的电价序列相空间,通过跟踪相空间相邻相点的演化趋势,建立基于快速BP网络的电价预测模型,对我国川渝电网电价进行预测,取得良好效果利用混沌动力系统的相空间重构理论,结合神经网络的非线性映射和泛化能力建立预测模型,提出一种新的预测方法实现了相点演化过程的全局跟踪,对"价格钉"进行预测,提高了预测精度,有效解决了负预测问题,得到满意的结果。

Based on the analysis and process, 3D reconstruction results of stacks for in-vivo skin and neural tuber are given.

在此之后,将三维重建算法应用于神经突触和在体皮肤的图像序列得到了效果良好的三维模型。

The trained neural network model is tested for interpolation capability using seven warpage values which are not used in training process.

利用训练过程中没用过的七个翘曲值检验训练的神经网络模型的插值能力。

the lcd display character is acquisited by ccd,after analysis with image process and artificial neural network theory,through grid and intersecting lines to pick up the character′s characteristic,recognize lcd display character,provide with a kind of interface for the instruments and equipments which have no standard interface with the computer but have a lcd display.the experiment result shows that the system acquire and recognize lcd display character is very successfully,and high anti-jamming ability.

摘 要:利用ccd对lcd数码显示字符进行采集,在分析图像处理和神经网络理论的基础上,采用网格法与交线特征提取法,对lcd数显字符进行识别,为具有lcd数显而与计算机无标准通信接口的仪器仪表设备提供一种实用的无线接口。实验表明,系统对lcd数显字符采集方便,识别率高,并且抗干扰能力强。中图分类号:tm932;tp216 文献标识码:b

On the aspect of intelligent control, fuzzy neurons network technology which integrating artificial neural network and fuzzy logic organically has strong ability of studying, adapting, fault-toleranting and disposing indeterminate information, it can execute autonomically the process of"ratiocination— dicision", this kind of method is the important development direction of lighting intelligent control in the future.

在智能控制方面,把人工神经网络和模糊逻辑有机地结合起来的模糊神经网络技术具有很强的学习、适应、容错能力和处理不确定信息能力,能够自主完成&推理——决策&的过程,这种智能控制手段是未来照明的智能控制领域的一个重要发展方向。

Then, the Elman neural network was used to process quantitative and classifiable recognization.

实验结果表明,该特征提取和神经网络分类算法对于粘接质量定量识别的准确度很高。

Interestingly the signaling pathway activated by fisetin in neural differentiation also played a role in memory formation, a process neuroscientists call "long-term potentiation" or LTP.

有趣的信号转导通路激活漆黄素在神经分化过程中也发挥着作用,在记忆形成过程神经学家所谓的&长期增强&或311 。

In addition to two l-z joints, the medial branches also innervate the multifidus muscle, the interspinous muscle and ligament, and the periosteum of the neural arch.7,28–30 The L5 nerve differs in that it is the dorsal ramus itself that runs along the junction of the sacral ala and superior articular process of the sacrum.29,31 Its medial branch arises opposite the inferolateral corner of the base of the lowest facet joint.

除了l-z关节以外,内侧支还支配多裂肌,棘间肌和韧带以及椎弓处的骨膜。L5神经有所不同,其背侧支本身走行于髂骨翼和髂骨的上关节突。其内侧支在最低关节囊的基底部下外侧角的对面发出。

The process of establishing neural network is as follows: two-layer neuronic network configuration is selected, S-type active function is used, input parameter of network are selected for thickness, preheat temperature, heat input and sampling point, output parameter of network is selected for fracture toughness property CTOD, learning algorithm of network is used for back-propagation algorithm.

本文选择了2层神经元的神经网络结构,采用S型激活函数,将板厚、预热温度、线能量、取样位置作为神经网络的输入,将环焊接头的裂纹尖端张开位移CTOD值作为网络的输出,通过BP算法的网络学习,采用VC语言建立了X70管线钢环焊接头CTOD与环焊工艺之间的神经网络。

The process of establishing neural network is as follows: input parameters of network are selected from thickness, preheat temperature, heat input, welding position and sampling point, output parameter of network is impact ductility CVN, two-layer neuronic network configuration, S-type active function and back-propagation learning algorithm are selected.

文章摘要:采用VC语言实现了X70管线钢环焊接头冲击韧性与环焊工艺之间神经网络结构的建立过程,将壁厚、预热温度、线能量、焊接位置、取样位置作为结构的输入,将环焊接头的CVN值作为结构的输出,选择了具有2层神经元的神经网络结构和S型激活函数及BP学习算法。

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