Time Series Prediction Based on Complex-Valued S-System Model
نویسندگان
چکیده
منابع مشابه
Common Fixed Point Results on Complex-Valued $S$-Metric Spaces
Banach's contraction principle has been improved and extensively studied on several generalized metric spaces. Recently, complex-valued $S$-metric spaces have been introduced and studied for this purpose. In this paper, we investigate some generalized fixed point results on a complete complex valued $S$-metric space. To do this, we prove some common fixed point (resp. fixed point) theorems usin...
متن کاملInfluence of data preprocessing on prediction of complex valued load time series
Exploitation of modern power systems requires prediction of the electrical load time series for operation of power utilities and load estimates for market operation and system planning. Increase of energy produced from renewable sources and deregulation of electrical energy market makes load prediction more important nowadays. By its nature, electrical load time series are highly non linear and...
متن کاملmortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولModel-based Classification of Data with Time Series-valued Attributes
Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attributes. Although this kind of object representation is very natural and straightforward in many applications, there has not been much research on data mining methods for objects of this special type. In this paper, we propo...
متن کاملEnsemble Kernel Learning Model for Prediction of Time Series Based on the Support Vector Regression and Meta Heuristic Search
In this paper, a method for predicting time series is presented. Time series prediction is a process which predicted future system values based on information obtained from past and present data points. Time series prediction models are widely used in various fields of engineering, economics, etc. The main purpose of using different models for time series prediction is to make the forecast with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2020
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2020/6393805