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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]

Objective Neural tube defects are a common congenital malformation in humans, which have affected on the human quality and are the most severe desease of birth defects, which comprises a series of defects such as anencephalia, encephalocoele, myeloschisis and so on because of no and delay closure of the neuropore in the progress of developing embryo.

目的 神经管畸形(neural tube defects,NTD)是人类常见先天畸形,是影响人口素质的最常见、最严重的出生缺陷性疾病之一。

Standard neural network model is the interconnection of a linear dynamic system and a bounded static nonlinear operator, which is depicted as a linear differential inclusion to be analyzed easily with linear matrix inequalities technique.

标准神经网络模型(SNNM-Standard Neural Network Model)由一个线性动力学系统和有界激励函数构成的静态非线性算子连接而成,被表示为线性微分包含的形式,便于利用线性矩阵不等式技术进行分析。

To resolve the influence of uncertainty and nonlinearity on the high-precision turntable servo system, an inverse control method based on diagonal recurrent neural network is presented.

针对转台伺服系统中存在的不确定性和非线性因素,提出一种基于对角回归神经网络(diagonal recurrent neural network,DRNN)的逆控制方法。

Objective: To investigate the mechanism of the effect of diethylstilbestrol on the proliferation and differentiation of hippocampal neural stem cells in fetal rats.

目的:探讨己烯雌酚对胎鼠海马神经干细胞(neural Stem cell, NSCs)的促增殖、分化作用及其机制。

One such method is based on the use of Fuzzy Neural Networks.

有一种这样的方法是基于对Fuzzy Neural网的使用。

Objective The application of diabetes correlated laboratory indicatrix artificial neural networks in diagnosis of pancreatic cancer.

目的 利用人工神经网络(artificial neural networks,ANN )探讨糖尿病相关实验室指标在诊断胰腺癌中的应用。

The magnitude of sliding mode switching gain is the key reason causing system chattering. Self-recurrent wavelet neural networks is used to estimate sliding mode switching gain on-line, which can reduce chattering caused by sliding mode control effectively.

滑模开关增益的大小是造成系统抖振的关键,采用自回归小波神经网络(Self-recurrent wavelet neural networks, SRWNN)在线估计滑模开关增益的大小可以有效降低滑模控制造成的抖振。

IEPA was combined with neural network by the new algorithm, multi-layer feed-forward neural network structure was replaced with RBF neural network structure, and back propagation algorithm was replaced with IEPA, then, expected side-lobe suppression quota was rapidly waisted.

该算法将进化规划算法和神经网络结合起来,用径向基RBF神经网络结构取代多层前馈网络MFNN(Multilayer Feedforward Neural Nerworks)结构,用改进进化规划取代反向传播算法BP,可以以较大概率快速的收敛到要求的旁瓣抑制指标。

Neural stem cells are special cells which have some capacity for self-renewal and the potencies to differentiate with multi-direction. The discovery of neural stem cells is a breakthrough for neural regeneration in the central nervous system.

神经干细胞(neural stem cells,NSCs)是一类具有自我更新能力和多向分化潜能的特殊细胞,它的发现,是中枢神经系统再生研究的一大突破。

Some technical expressions: Hough transformation: Hough transform K average value: K-means fitting straight line: fitting line pattern plate match: template matching vertical and horizontal axis projection: vertical and horizontal projection BP neural network algorithm: BP neural networks most close neighbor sorter: K-NN

一些专业术语:Hough变换:Hough transform K均值:K-means 拟合直线:fitting line 模版匹配:template matching 垂直与水平投影法:vertical and horizontal projection BP神经网络算法:BP neural networks 最近邻分类器:K-NN --------- PS:Google翻译的就不用贴了

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