贝叶斯正规化,bayesian-regularization
1)bayesian-regularization贝叶斯正规化
1.Application of Bayesian-regularization BP neural network in the prediction of hospital beds;贝叶斯正规化BP神经网络在我国医院床位预测中的应用
2.Study the Bayesian-regularization BP Neural Network Model of Bacillary Dysentery基于贝叶斯正规化BP神经网络模型对菌痢发病的预测研究
英文短句/例句
1.Bayesian-regularization BP Neural Network and the Application in Medical Fields;贝叶斯正规化BP神经网络及其在医学中的应用
2.Study the Bayesian-regularization BP Neural Network Model of Bacillary Dysentery基于贝叶斯正规化BP神经网络模型对菌痢发病的预测研究
3.Modeling Changes of Non-point Source Pollution Load for Watershed Using Bayesian Regularized BP Neural Network贝叶斯规整化BPNN定量流域非点源污染负荷研究
4.Application of BP Neural Networks Based on Bayesian Regularization to Aircraft Wing Loads Analysis贝叶斯正则化BP网络在机翼载荷分析中的应用
5.Bayesian Regularization BP Neutral Network for the Construction of DEM Trend基于贝叶斯正则化BP神经网络的DEM趋势面逼近
6.Stock Index Forecast Based on Bayesian Regularization BP Neural Network基于贝叶斯正则化BP神经网络的股票指数预测
7.Regularized Kernel Density Estimation Algorithm Based on Sparse Bayesian Regression基于稀疏贝叶斯回归的正则化核密度估计算法
8.Research of Prediction of Coal and Gas Outburst Based on BP Artificial Neural Network Utilizing Bayesian Regularization基于贝叶斯正则化BP人工神经网络的煤与瓦斯突出预测的研究
9.A Model Based on Bayesian Regularization BP Neural Network to Predict the Probability of the Listed Companies Financial Crisis;基于贝叶斯正则化BP神经网络的上市公司财务困境预警模型
10.Agility evaluation of virtual enterprise based on BR neural network;基于贝叶斯正则化神经网络虚拟企业敏捷性评价
11.An Application of the TDBPNN Model Based on Bayes Regularization to Forecasting China s Foreign Trade and Evaluation;基于贝叶斯正则化的TDBPNN模型在中国外贸预报中的应用及评估
12.admissibility of Bayes decision rule贝叶斯决策规则的宜取性
13.A Consistency Axiomatization of Correlatedly Bayesian Equilibrium相关贝叶斯平衡的一致性公理化(英文)
14.Spam Filtering Optimization Algorithm Based on Bayes;基于贝叶斯的垃圾邮件过滤优化算法
15.An optimization model of employee setup based on Bayes theory;基于贝叶斯理论的员工配置优化模型
16.Transformation of Bayesian Nash Equilibrium under Incomplete Information;不完全信息下贝叶斯纳什均衡的转化
17.Bayesian Methods in Advanced Random Response Model;改进的随机化回答模型的贝叶斯方法
18.Method of fault diagnosis using Bayesian optimization algorithm一种故障诊断的贝叶斯优化算法研究
相关短句/例句
Bayesian regularization贝叶斯正规化
1.Bayesian regularization in combination with Levenberg-Marquardt algorithm has been applied to achieving faster learning speed and well-generalized neural network.将贝叶斯正规化方法与Levenberg-Marquardt优化算法相结合,提高了神经网络训练的效率和推广能力。
3)Bayesian regularized贝叶斯规整化
1.Bayesian regularized BP neural network (BRBPNN)was applied to quantify the impact of biophysical socioeconomy on non-point source (NPS) pollution within Weihe River.将贝叶斯规整化BP神经网络(BRBPNN)应用于渭河流域非点源污染、社会和经济之间相互作用的研究。
4)Bayesian regularization贝叶斯正则化
1.The predictive models usingBayesian regularization neural network and grey model are established for the H+ concentration in the HPO, two kinds of model are compared and associated to establish model and to predict.以某己内酰胺厂磷酸羟胺(HPO)的制备的现场数据为基础,利用贝叶斯正则化神经网络和灰色模型建立了磷酸羟胺中的H+浓度的预测模型;比较了神经网络和灰色模型的差异,并把两者结合起来,建立模型进行预测。
2.This paper compares the results by standard BP algorithm with that ofBayesian regularization together with LM algorithm.比较了标准的BP算法和用贝叶斯正则化与Levenberg-Marquardt算法相结合的改进BP网络训练的结果。
3.The BPNN model ofBayesian regularization method was adopted to create the adaptivity and generalization of BPNN.基于混沌退火算法和BPNN模型的末敏弹系统效能参数优化,引入贝叶斯正则化方法的BPNN模型,使神经网络具有自适应性和推广能力。
5)Bayes regularization贝叶斯正则化
1.TheBayes regularization method is employed to get a well generalized neural networks, the redundant and irrelevant attributes can be deleted from the prime attributes set by pruning the input node of the networks.采用贝叶斯正则化方法训练 ,以得到推广性优良的神经网络 ,并提出启发性的遗传算法。
2.This paper establishes dynamic forward feedback correction model with the method of combiningBayes regularization and BP neural network.文中采用贝叶斯正则化与BP网络结合的方法,建立动态前馈校正模型。
3.Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizingBayes regularization.基于相空间重构的非线性预报思想,建立一个时滞的BP神经网络模型,采用贝叶斯正则化方法提高BP网络的泛化能力。
6)Bayesian rules贝叶斯规则
1.To improve the effectiveness in the supervision of medicinal markets,Bayesian rules,supervision of admission,prisoner s dilemma,anti-fake and maintenance right,obstruction in access to medicinal markets,anti-monopoly and other aspects are analyzed in the paper.从贝叶斯规则与医药市场准入监管、囚徒困境与打假维权、医药市场进入阻挠与反限制竞争等方面对医药企业的监管进行博弈分析,药品监督管理部门通过理性博弈可以大大提高医药市场监管的有效性。
延伸阅读
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