… on identified nonlinear polynomial models by means of constrained parameter estimation[J].
IEE … gas storage units based on BP neural network and Monte Carlo simulation[J]. Oil & Gas …

Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

… of decision trees is that they place little constraint on the pattern of relationship. Neural nets
… is available from a smorgasboard of mainstream statistical models. The user must make a …

… Pan 等[105] 对在实际场景中捕获的 LR 图像进行SR 重建, 使用基于高斯过程的神经架 构搜索
(Gaussian process based neural architecture search, GP-NAS) 通过异构模型实现真实图 像SR…

In this paper, we first define the unmanned vehicle and analyze the current technology and
key problems of driverless vehicles. Then, we discuss the principles and architectural design …

… planning and perceptual decisionmaking are affected in older … One possibility is that older
adults were more constrained by … and neural indices of perceptual decision making: A review. …

… models as location models: the retail model as an archetype The production-constrained
model 5 is … because it adds a locational dimension to the spatial interaction model. The retail …

… of deep neural network, and solves the problem that the deep model is difficult to be directly
applied to resource constrained systems. Finally, based on StarLight, various models used …

… Applicable scenario constraints. The multimodal interaction model based on neural computation
… The experiment follows the applicable scenario constraints of our model mentioned in …

… Chen JF, Jin QJ, Wang HM et al (2012) A risk assessment model of flood based on information
diffusion method and BP neural network. Prz Elektrotech 88: 33–36 134. Chen JF, Zhang …