Stadtherr: ``Uncertainties in parameter estimation and optimal control in batch distillation'', Comp. Chem. Eng. 29 (2005) 1805.Ulas, S., Diwekar, U. M., and Stadtherr, M. A.: Uncertainties in Parameter Estimat
Mechanisms to avoid flat zones (also frequent in parameter estimation problems), as well as others to avoid getting stuck in local solutions, have been added. In every iteration the algorithm analyzes if the elite solutions have very similar objective function values regardless their Euclidean distanc...
context: Ct , utterance in context: x=(w1,w2,...,wN) , hidden representation: H=(h1,h2,...,hN)。GRU -> attention -> GRU: 2. uncertainty estimation 将回复生成过程拆解: intuition:针对当前对话背景,如果对话系统没见过与之相似的案例,那么 C 的编码就会落在未知的对话编码空间,这会导致 p(z...
Open in MATLAB Online ThemeCopy Hi I want to fit a nonlinear model using nonlinear regression function nlinfit or fitnlm.Is there a difference? which one is more robust for a difficult kinetic model? It seems both use Levenberg-Marquardt algorithm ? Thank You,...
Beside parameter estimation, the distinctive yes-or-no answer provided by set-membership techniques can also be used for model inconsistency detection [35], [36]. One caveat here is that the set of feasible parameter values may be empty in the presence of measurement outliers or due to an ...
and Walker-Smith, Mary (1987) Nonlinear Parameter Estimation: An Integrated System in BASIC", New York: Dekker, now available online with software at https://archive.org/details/NLPE87plus.J. C. Nash and M. Walker-Smith. Nonlinear Parameter Estimation: an integrated system in BASIC. Marcel ...
The presented MINLP-based optimization approach for nested-model selection and identification is a powerful methodology for model development in systems biology. This strategy can be used to perform model selection and parameter estimation in one single step, thus greatly reducing the number of experimen...
This paper introduces a novel parameter estimation method for the probability tables of Bayesian network classifiers (BNCs), using hierarchical Dirichlet p
An approach for parameter estimation of proportional-integral-derivative (PID) control system using a new nonlinear programming (NLP) algorithm was propose... Xi-ming,Liang,梁昔明,... - 《中南大学学报(英文版)》 被引量: 34发表...
4.3.2. Server Selection with Utility Estimation For the utility computation of clients and sever, Util(c) takes the value from the gradient obtained in the current round, and we can not get the utility of each client in advance before choosing the current server and training. However, due ...