نتایج جستجو برای: ann method shows better fit to historical data
تعداد نتایج: 11303618 فیلتر نتایج به سال:
S. Lee, D. Noll, J. Fessler EECS, University of Michigan, Ann Arbor, MI, United States, Biomedical engineering, University of Michigan, Ann Arbor, MI, United States Introduction Dynamic R2* mapping has been used in several MRI applications, such as functional imaging [1-4], and tissue identification by bolus tracking [5]. In functional imaging, R2* mapping has several advantages. It provides be...
Recently, it has been observed that a new method for generating continuous distributions, T - X family, can be quite effectively used to analyze the data in one dimension. The aim of this study is to generalize this method to two dimensional space so that the marginals would have T - X distributions. So, several examples and properties of this family have been presented. As ...
In this paper, we solve the multi-period portfolio optimization problem under new assumptions. Recently, the authors examined some distributions instead of Gaussian to fit returns to improve the optimization problem and indicated, by Kolmogorov-Smirnov test, that the Kernel density estimator is the best one. In the present paper, we consider the most appropriate distribution of each asset in ea...
the present study sought to investigate the impact of using mind-mapping technique instruction on female elementary efl learners reading comprehension; it also investigated their attitudes towards using mind-mapping technique as a tool to improve their reading comprehension. this study followed a quasi-experimental design with two intact groups as experimental, and control groups. the participa...
nanotechnology is a general term which is related with field of all advanced science term that generally predicates with all modern technologies which consider nanoscales. improvement in the quality of products by adding some nanoparticles and study of their behavior in the presence of these nanoparticles have been obtained in many researches. on the other hand numerous demands for sowing ...
Streamflow forecasting has an important role in water resource management (e.g. flood control, drought management, reservoir design, etc.). In this paper, the application of Adaptive Neuro Fuzzy Inference System (ANFIS) is used for long-term streamflow forecasting (monthly, seasonal) and moreover, cross-validation method (K-fold) is investigated to evaluate test-training data in the model.Then,...
Background: Micro-grid (MG) can be described as a group of controllable loads and distributed energy resources that can be connected and disconnected from the main grid and utilized in grid-connected or islanded modes considering certain electrical constraints. Methods: The objective of this article are as follows: (1) predict the uncertainties through the hybrid method of WT-ANN-ICA and (2) de...
Most of the land use change modelers have used to model binary land use change rather than multiple land use changes. As a first objective of this study, we compared two well-known LUC models, called classification and regression tree (CART) and artificial neural network (ANN) from two groups of data mining tools, global parametric and local non-parametric models, to model multiple LUCs. The ca...
Background: Prediction of developmental disorders in infancy is very important. This study aimed to predict movement disorders of children using Artificial Neural Network (ANN) model. Methods: This was a retrospective study, in which 600 infants with normal and 120 infants with abnormal neurologic examination were evaluated. For analysis, the data divided the study group randomly int...
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