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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 text neural network of this a thenew method leads into to the charged barbed wire net harmonic valueto measure, combining how the neural network set up the problemproceeded than for the research of the system.

针对神经网络的这一新方法引入到电网谐波幅值测量中,并就神经网络如何构建问题进行了较为系统的研究。

The neural stem cells can be isolated from human embryonic cerebral tissue . The ratio of cell clone formation from smaller gestational age is higher than that from elder gestational age .The differentiation of neural stem cells from hindbrain is easier than that from forebrain.

从人胚脑组织的前、后脑中分离出神经干细胞;较小胚龄的脑组织原代培养时细胞克隆的形成比例较高;后脑组织分离的南京医科大学硕士学位论文神经干细胞比前脑组织来源的更容易分化。

To isolate forebrain and hindbrain of human fetuses about 9 weeks and 12 weeks from spontaneous abortion. Neural stem cells were cultured in special culture medium and were compared with growth characterization.The differentiation from these neural stem cells was investigated in both a fetal bovine serum-containing and a non-supplemented,serum-free basal medium.

材料与方法:利用神经干细胞的条件培养基,对从9周和12周胚龄的自然流产胎儿分离的前脑、后脑进行神经干细胞培养,比较其生长特性,并分别观察在无生长因子的基础培养基以及含有胎牛血清的培养基中神经干细胞的分化情况。

Dynamical behaviors such as periodic, quasi-periodic and chaotic waveforms are observed on oscilloscope. It is expected that the proposed chaotic sources and their circuit implementations are beneficial to the application of neural networks. 4 A template of Cellular Neural Network is derived aimed at solving second-order hyperbolic wave equations based on space discrete method, a novel alternating recursive algorithm implementation is given.

提出了采用复数神经网络进行FIR滤波器设计的方法,利用复数信号能够同时携带幅度和相位信息的特点,构造了相应的具有复数的状态、偏置输入、输出、网络联接权的复数神经网络,证明了算法的收敛性,给出了网络的电路实现图,这方面工作对于拓展神经网络算法的应用范围和寻求FIR滤波器的设计新方法是有益的。

Then, breifly introduced the arithmetic of the Multiple Linear Regression and artificial neural networks, built up the Multiple Linear Regression model and artificial neural networks model on this foundation, and forecast ice jam water level distinguishly under experiment condition and natural condition.

然后,简要地介绍了多元线性回归和人工神经网络的数学算法,在此基础上建立了多元线性回归模型和神经网络模型,并依此分别对试验条件下和天然条件下冰塞的水位进行预测。

The neural networks fault diagnosis system based on intelligent technology is developed by use of neural networks'characteristic of nonlinear mapping to impend over aeroengine which is a complicated nonlinear ...

在此基础上,提出了航空发动机全包线内故障诊断的方法,并使用Visual C++编程语言,开发了故障诊断软件模块,可以实现全包线内的在线故障诊断功能。

The method of stimulating nerves with neural tiny electrode can cure infantile paralysis、splitting headache、blindness、deafness stubborn chronic ache and epileptic, and the doctors also need true neural signal to supply evidence for Pathology diagnosis.

运用神经微电极进行电刺激的方法正被用于治疗小儿麻痹症、帕金森综合症、失明、耳聋、顽固性慢性疼痛和癫痫病等顽固性疾病,而医生也需要获得真实的神经信号为临床诊断提供依据。

A new knowledge acquirement way is presented based on the reliability data of product, then the fuzzy semantic net which consists of FEPM and fuzzy fault tree is regard as fault knowledge representation. The formalization of the fuzzy semantic net is described, and the relative concepts and relations are summarized. A stereo-knowledge representation which consisted of FFTF, rule and fuzzy neural network which make up of the shallow knowledge of the product is presented. The integrated fault diagnosis method based on the stereo-knowledge representation is suggested. The method is as follows. The fuzzy search inference is carried out on FFTF firstly. If the node being diagnosing can be decided if it failed or not in the fuzzy search inference, the rule inference to the node is carried out with the rules which being in symptom-fault way. An equivalent method, pattern recognization inference using fuzzy neural network, can fulfill the same work.

提出了以FFTF模糊语义网络为主、基于浅知识的产生式规则、模糊神经网络为辅的产品故障知识的立体知识表示方式,并提出了基于该多种知识表示的综合性故障诊断方法,即:首先对故障产品进行基于FFTF模糊语义网络的模糊搜索推理,如果在模糊搜索推理过程中不能确定当前诊断节点故障与否,则对当前诊断节点进行基于征兆-故障形式的验证式规则推理或者对包含该诊断节点的部件/子系统进行基于模糊神经网络的模式识别推理,如果在完成或者不再进行基于模糊语义网络的故障推理,仍然不能诊断出故障节点,则对基于模糊语义网络诊断过程中形成的故障诊断子图进行神经网络推理。

The effects of the initial values and the network approximation error using neural network model composed of feedforward neural net and delayed output feedback in the approximation of NARMAX system are studied, and a conclusion is drawn that under some weak conditions the output of the network model has little difference from that of the actual system.

研究了用带有延迟环节的前馈网组成的网络模型逼近NARMAX系统时网络逼近误差及运行初始误差对网络模型输出的影响,指出在一些弱的条件下网络模型输出与实际系统输出间相差不大。

This approach is a combination of signal analysis and mathematical model .By the denoising function of wavelet and the learning itself function of neural network , the input and output nonlinear dynamic characteristic of system is obtained . The output prediction error, generated from the real output and wavelet neural networks estimated output, is used as a residual error to execute logical judge. and this approach can improve the speed and accuracy rate of fault detection.

它是一种把信号分析和数学模型相结合的故障检测方法,通过小波对信号的去噪和神经网络的自学习功能,来获取系统输入输出的非线性动力学特性,进而实时计算出残差并进行逻辑判决,可提高故障检测的速度和准确率。

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