artificial vector
英 [ˌɑːtɪˈfɪʃl ˈvektə(r)]
美 [ˌɑːrtɪˈfɪʃl ˈvektər]
网络 人为向量; 人工向量
双语例句
- The equivalence of the generic Functional Link Artificial Neural Network and the Support Vector Machine is given by analyzing their relations.
通过分析常规函数链接型神经网络结构与支持向量机的关系，确定了两者本质上的等价性； - Prediction of Daily Water Consumption Based on Artificial Immunity and Support Vector Machines
基于人工免疫与支持向量机的日用水量预测 - Construction of Large DNA Fragment Cloning Vectors and Rice Transformation Based on Transformation-competent Artificial Chromosome ( TAC) Vector
基于TAC多基因转化载体的构建及其转化水稻的研究 - Without artificial viscosity and dissipation, implicit flux vector splitting scheme can predict the transonic flow field and capture the shock wave accurately.
隐式矢通量分裂格式不需人工粘性项与人工耗散项，可以计算跨声速流场，也可以较准确地捕获激波。 - Research on the Preparation of Bacterial Artificial Chromosome ( BAC) Vector DNA
关于细菌人工染色体（BAC）文库载体DNA制备的研究 - Development of Transformation System of Rice Based on Transformation-competent Artificial Chromosome ( TAC) Vector
基于TAC载体的水稻转化系统的建立 - Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.
与统计分析和神经网络相比，基于结构风险最小的支持向量机有更好的分类性能。 - Artificial Neural Network Based Optimum Vector Quantizer Design for Noisy Channels
噪声信道下最佳矢量量化器的人工神经网络实现方案 - In this paper the intelligent control theory, including fuzzy control and artificial neural network control are introduced. On the basis of it, two controllers are designed respectively, which are fuzzy logic controller and artificial neural network voltage space vector controller by use of BP network.
本文阐述了智能控制技术，包括模糊控制和神经网络控制技术，在此基础上，一是设计了模糊控制器，二是利用BP网络设计人工神经网络控制器。 - Based on lots of practical data the regression prediction models are established separately using artificial neural network and support vector machine and are applied in the optimization model of finish rolling schedule to predict crown.
基于现场大量的实测数据，分别建立人工神经网络和基于遗传算法优化参数的支持向量机带钢凸度回归预报模型，以供轧制规程优化模型中凸度的计算使用。 - The Construction and Screening of Genomic Library Based on Trans-formable Artificial Chromosome ( TAC) Vector in Lotus japonicus
以可转化人工染色体（TAC）载体为基础的百脉根基因组文库的构建及筛选 - Artificial neural network based method for mode vector correlation
基于人工神经网络的复杂结构模态匹配 - Analysis on Artificial Neural Network& Support Vector Machine in Prediction of Oil Analysis Data
油液监测数据的人工神经网络及支持向量机预测方法分析 - The technologies used to develop electric load prediction analysis system are presented in this paper. Two prediction methods, artificial neural network BP algorithm and support vector machine are integrated in the system, taking multi-variate regression and time series to build mid-term electric load prediction model.
本文介绍了开发电力负荷预测分析系统的主要技术，系统集成了人工神经BP算法和支持向量机SVM两种预测方法，运用多元回归模型和时间序列模型建立电力负荷中期预测模型。 - Transformation-competent Artificial Chromosome ( TAC) Cloning Vector and its Application Prospects in Fruit Genetic Engineering
可转化人工染色体（TAC）克隆载体及其在果树基因工程研究中的应用前景 - We separated the false signals by means of artificial neural networks and support vector machine classifiers in order to extract of the region of interest.
结合人工神经网络和支持向量机分别对提取的特征向量进行分类以提取感兴趣区域。 - Artificial intelligence methods such as support vector machines, Gaussian processes and evolutionary algorithms have been applied in the domain of chemical process engineering. These methods solved some control and optimization problems of complex chemical system.
以支持向量机、高斯过程、进化算法等为代表的智能方法已在化工领域得到了应用，解决了复杂化工系统的控制与优化问题。 - Comparing with the artificial neural networks and the general support vector machine, it shows that the new model can improve the prediction accuracy, has an important practical value.
通过与人工神经网络和常规支持向量机比较，表明了本文所建立的预测模型能有效地提高短期负荷预测的精度，具有重要的实用价值。 - Artificial neural networks and support vector machine ( least squares support vector machine and a based on optimization algorithm least squares support vector machine) are use to predict the model, which can be replaced step response of the actual production process and predicted results are compared.
分别采用了人工神经网络、支持向量机（最小二乘支持向量机和采用优化算法的最小二乘支持向量机）作为预测模型，替代了实际对象过程的阶跃响应模型，并将预测结果进行比较分析。 - In this paper, Hu moment feature is extracted, normalized and modified. Thirdly, moment feature, which is the input of artificial neural network and of Support Vector Machine ( SVM) respectively, is used to recognize the category of the aircraft.
文中提取了飞机图像的Hu矩，并对矩特征进行了修正和归一化。再次，把矩特征分别输入神经网络和支持向量机进行模式识别和分类。 - The existing methods include the traditional response surface method ( RSM), and the recently developed artificial neural network, Kriging and support vector machine et al.
已经提出的方法有响应面、神经网络、kriging和支持向量机等。 - This paper use Lick index, based on the characteristics of the mass spectra, respectively, by linear regression, artificial neural networks, support vector machine approach to design efficient algorithms to measure the physical parameters of the atmosphere.
本课题利用Lick线指数，根据光谱的海量特点，分别通过线性回归、人工神经网络、支持向量机的方法来设计大气物理参数测量的高效算法。 - In this dissertation, several modern analysis technologies such as artificial neural network, wavelet analysis, support vector machine, self-memory model and chaotic theory were applied to hydrologic time series forecasting respectively.
本文以神经网络、小波分析、支持向量机、自记忆模型和混沌理论这几种现代分析技术为预测手段进行了水文时间序列的预测研究。 - Recently, many methods have been used to model fermentation soft sensors, such as mechanism modeling, Kalman filter, multiple regression, artificial neural network and support vector machines ( SVMs).
近几年来，诸如机理建模、卡尔曼滤波器、多元回归、人工神经网络和支持向量机等方法已经被诸多学者应用于微生物发酵过程的软测量建模中。 - Computational intelligence methods such as Artificial Neural Network ( ANN), Support Vector Machines ( SVMs) and Genetic Programming ( GP) are applied to predict crude oil price so as to overcome the limitations of traditional statistical and econometric models.
为了克服传统的统计和计量经济学模型的局限性，人工神经网络（ANN）、支持向量机（SVMs）和遗传规划（GeneticProgramming）等计算智能方法被运用于原油价格预测。 - The quantitative prediction contents Time Series prediction, Multiple Regression forecast, Grey Prediction, Artificial Neural Networks prediction, Support vector Regression and compound prediction.
在定量预测中主要介绍了时间序列预测、多元回归预测、灰色预测、人工神经网络预测、支持向量回归和组合预测。 - Base on analyzing the main factors of eutrophication for Xiangxi Bay, the prediction model was established to study the short-term forecasting and warning of the eutrophication status with artificial neural network and support vector machine.
本文在分析香溪河库湾富营养化主要影响因子的基础上，分别采用人工神经网络和支持向量机方法建立模型对富营养化状况作了短期预测和预警。 - In order to overcome the limitations of traditional econometric models, artificial neural network, support vector machine ( SVM), and genetic algorithm, such as artificial intelligence methods are used to forecast, and the method is better than the traditional models.
为了克服传统计量模型预测的局限性，人们应用人工神经网络、支持向量机及遗传算法等人工智能方法进行预测，经过试验表明，这些方法的确优于传统的计量模型。 - To the lack of the antibody similarity criterion, the artificial immune algorithm based on code weight pseudo vector distance is proposed.
针对传统人工免疫算法的抗体相似度判定准则的不足，提出了一种基于码权重伪矢量距的人工免疫算法。 - The voiceprint recognition models are commonly constructed as parametric models, non-parametric model, artificial neural network and support vector machine model.
目前常用的声纹识别模型可分为参数模型、非参数模型、人工神经网络模型和支持向量机模型。