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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 top of neural tube forms basic encenphalic shape,namely endbrain, interbrain, midbrain and afterbrain. The abnormal closure of neural tube will result in neural tube detects. Encephalocoele is a common congenital malformation whose mechanism was no known. NO participates in the physiologic process of brain.

胚胎脑发育的早期阶段主要是神经板隆起、弯曲、闭合形成神经管,神经管的头部从前向后依次发育形成脑的基本组织形态,即端脑、间脑、中脑、后脑,在神经管闭合过程中出现异常就会导致NTD。

The feasibility of neural network application to asphalt concrete pavement performance forecast is set forth. Three main environmental factors-traffic, rainfall, temperature, which can lead to the direct change of pavement performance are used as the input layer of neural network. The performance indexes of asphaltum concrete pavement, i.e. dilapidation rate, smoothness, deflection, friction coefficient are used as output layer. The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性,以环境因素,即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层,以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层,采用MATLAB语言中的BP神经网络模块进行自学习,得出环境因素与路面使用性能之间的关系。

The micro vehicle rear axle of car main gear box noise question became the worker matter of concern. In this paper, the micro vehicle rear axle of car main gear box noise performance present situation and the traditional assessment method are discussed, and the general BP neural network and the Levenberg-Marguardt algorithm are introduced in detail. Improves the BP neural network using the LM algorithm, at present is trains the neural network the quickest algorithm.

微车后桥主减速器噪声问题成为工作者所关注的问题,本文介绍了后桥主减速器噪声性能现状及传统评价方法,阐述了BP神经网络的一般算法,并详细介绍了Levenberg-Marguardt算法,利用LM算法来改进BP神经网络,目前是训练神经网络的最快算法。

For the limitations of traditional algorithms that can not be reasonably accurately predict the traffic, we have adopted BP neural network and curvilinear regression algorithms. First, we use BP neural network to train on historical data and then use the curve of regression to predict various factors, and then forecast data into the trained BP neural network which has been trained well, you can get future traffic forecasts.

针对以上传统算法的局限性,采用BP神经网络与曲线回归耦合算法,用BP神经网络对历史数据训练,利用曲线回归对各因素待测年份之值预测,将各因素的预测值带入已训练好的BP神经网络中,即可得到未来交通量的预测值。

The mathematical model of the dynamic recurrent neural networks with two hidden layers is introduced. Using the experimental data, the neural identifier and the neural controller are designed off-line.

介绍了双隐层动态递归神经网络的数学模型,利用实验数据离线设计了神经网络辨识器与神经网络控制器。

Part three: An experiment study on the repair of peripheral nerve injury by NT-3 gene modified neural stem cells objective To investigate the effective treatment of peripheral nerve injury with NT-3 gene modified neural stem cells, to explore the feasibility of the treatment by means of gene transfection Methods 54 SD rats were divided evenly into 3 groups. The sciatic nerve transected model were made and sutured end to end with epineurium. The neural stem cell without NT-3 gene or with NT-3 gene modified were injected into triceps muscle one time a week, saline injected as control group. The nerve trunks of stomas and triceps muscle were acted as specimen three weeks、six weeks and nine weeks after operation.

最后,为了探讨神经营养素-3基因修饰的神经干细胞对周围神经再生修复的影响,从转基因角度探讨治疗周围神经损伤的有效方法,我们选用54只SD大鼠随机分为3组,造成坐骨神经切断损伤模型,神经外膜端端对位缝合后,于小腿三头肌每周分别注射生理盐水、未被神经营养素-3基因修饰的神经干细胞、及神经营养素-3基因修饰的神经干细胞。

In this paper chip shapes were recognized by using of radbas neural network. We put forward area ratio feature, Euler number feature, etc. geometry feature of chip shape image and thing of those features as inputting vector of neural network. Adopt radbas neural network and training the network using RLS.

研究了径向基函数神经网络在硬质合金刀具切屑形态图像识别中的应用,提出了面积比、欧拉数、分散度等硬质合金刀具切屑形态图像的几何特征,以上述特征作为神经网络的输入矢量,利用径向基函数网络,采用了递推最小二乘法训练该网络。

A new finger-print recognition method using pulse-coupled neural network s;2. Image segmentation based on pulse-coupled neural network ;3. The principle of pulse-coupled neural network used for determining the optimum route is analyzed.

分析了脉冲耦合神经网络的路径寻优原理,针对交通诱导系统的要求提出了脉冲耦合神经网络的简化方法和应用模型,给出了基于脉冲耦合神经网络简化模型的最短路径的算法。

BP neural networks have been widely used in mode recognizing, image processing, system control etc A lot of study has been done on the training algorithm of BP neural networks But there are still many short comings To complete the training of the weights of a BP neural network, the key problem is how to overcome the staying at the local minimum points as well as how to increase the training speed based on this condition This paper comes up w...

BP神经网络被广泛应用于分类模式识别、图像处理和系统控制等领域人们对BP网络算法进行了许多的研究,但尚有其不足之处为完成其权的训练,问题的关键在于如何避免陷入局部极小及在此前题下如何提高学习速度为此,就如何选取学习率η和动量矩α提出了改进方案,并应用于数字识别,得到了较为满意的结果

The experimental results indicate that the LMBP neural network has higher classification rate, more rapidly converge velocity by comparing with other improved BP algorithm and the Radial Basis Function neural network. Through the experiments of recognizing the sonar image polluted with Gaussian noise, it is proved that the LMBP neural network has good stability and better anti-noise performance.

通过与标准BP算法和几种常用改进型BP神经网络以及径向基函数网络比较,验证了用LMBP神经网络作为声纳图像识别系统中的分类器,能够提高图像的识别率,加快网络的收敛速度,通过对受不同程度高斯白噪声污染的声纳图象的识别,验证了其性能稳定,具有较好的抗噪声性能。

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