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neural network相关的网络例句

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

The results showed that neural network structure of tobacco aroma components was global optimized, and the neural network trained by genetic algorithm was more efficient and correct than by gradient descent method .

结果表明,使用该方法能全局优化基于烟草致香成分的神经网络结构,较之梯度下降法的神经网络的训练效率更高,得到的识别结果也更加准确。

Using BP algorithm of feed-forward neural network in fuzzy neural network, the small disjunction samples are further processed.

采用模糊神经网络中的前向神经网络BP算法对小分裂样本进行进一步处理。

The scale 7, 10 and 13 are used to extract the feature vectors, which are used to train the artificial neural network. The trained neural network is used to classify semen cuscutaes and Japanese dodder seeds, which are collected from different places all over the country.

选择第7、10、13分解层数的特征向量,进行人工神经网络训练,再用训练出来的网络对不同产地的植物种子菟丝子和金灯藤所得FTIR小波提取的特征向量进行分类。

In order to make the neural network application suffice the demands of double-quick computing and tidy memory capacitance in embedded systems, an optimization method of neural network with fixed-point number was proposed.

为了使得神经网络的应用符合嵌入式系统快速计算、存储量精简的要求,提出了一种定点数权值神经网络的优化方法。

After the pertinence analysis of endoplasm parameters, designed an artificial neural network which built the training sample with grape images information and pericarpial pigment parameters and another artificial neural network which built the training samples with pericarpial pigment parameters and total acid, total sugar, soluble solids of sarcocarp. Using this combined module, realized the nondestructive measurement according to grape images information.

通过对内质参数的相关性分析,设计了由葡萄图像信息预测色素内质参数的人工神经网络及由果皮色素参数预测果肉总酸、总糖、可溶性固形物的人工神经网络模型,通过两个模型组合来实现根据葡萄图像信息进行采前无损检测的目的。

On the basis of energy function, the stability and convergence of the proposed neural network are analyzed, which guarantee the global stability of the equilibrium point of neural network.

此外,利用能量函数对神经网络的稳定性和收敛性进行了分析,进而保证所提出的神经网络具有全局稳定性。

The expressions of polynomial and neural network are used to approximate angular error, it is demonstrated that the variance error by using neural network is smaller, which raises a higher request on the performance of the computer.

本文研究了误差模型的存贮方式问题,对于误差拟合采用了多项式法和神经网络方法,神经网络法的逼近程度高,但对计算机的性能要求也高。

This text neural network of this a the new method leads into to the charged barbed wire net harmonic value to measure, combining how the neural network set up the problem proceeded 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。

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。

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。

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与遍地都是的太阳军旗不同,中国人的旗帜和徽章设计得各式各样。

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FFT对加法合成是很重要的,因为它有助于我们评估产生合成音分音的振荡器的价值。