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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]

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。

By studying and analyzing the various Neural Network and intelligent fault diagnosis, associating the difficulty which is to measure the interior signal of cycloconverter, the thesis puts forward the cycloconverter fault diagnosis which bases on Neural Network and takes cycloconverter input voltage and output current as the input of NN. According to the self-learning and non-linearity of NN, it can confirm the position of SCR fault.

通过对国内外多种神经网络和智能故障诊断技术的分析比较,并考虑到直接检测变频器内部有关信息的难度,本文提出并研究了基于神经网络的变频器故障诊断技术,以变频器输入/输出有关电量特征值作为神经网络的输入,通过神经网络的自学习方式,对变频器内部晶闸管故障进行定位。

As CMAC neural network could not be used to approximate the multi-valued mapping of an inverse hysteresis directly, an inverse hysteretic operator was proposed to transform the multi-valued mapping into a one-to-one mapping which could enable neural networks to approximate the behavior of an inverse hysteresis.

由于CMAC神经网络不能够直接逼近滞回逆这种具有记忆性的多映射现象,通过引入一个滞回逆算子,将多映射的滞回逆转换成一一映射,然后运用CMAC神经网络控制器来逼近这个一一映射,从而建立一个基于CMAC神经网络的滞回逆模型。

The fuzzy neural network is used to identify the dynamics of the system to be controlled, the trained fuzzy neural network is used in the inverse system method for chaos control and chaotifying control.

采用模糊神经网络洲触被控系统的动态特性,将训练好的神经网络应用于逆系统方法中,实现了混沌系统的控制和混沌化控制。

The simulation results show that the novel BP wavelet neural network based on IPSO not only has the good local property of wavelet analysis and the learning and classification capability of artificial neural network, but also has the fast global searching advantage of particle swarm optimization algorithm.

实验结果表明,基于改进的粒子群优化算法的BP小波网络不仅具有小波分析良好的局部特性以及神经网络的学习、分类能力,而且具有粒子群优化算法全局快速寻优的特点。

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