An optimal adaptive filtering algorithm with a polynomial prediction model

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

an optimal similarity measure for collaborative filtering using firefly algorithm

recommender systems (rs) provide personalized recommendation according to user need by analyzing behavior of users and gathering their information. one of the algorithms used in recommender systems is user-based collaborative filtering (cf) method. the idea is that if users have similar preferences in the past, they will probably have similar preferences in the future. the important part of col...

متن کامل

Optimal Set-membership Filtering Using an Adaptive Minimax Algorithm with Automatic Bound Tuning

This paper shows that optimal set-membership filtering (SMF) is identical to minimax ( ) filtering, if optimal SMF corresponds to the smallest error bound specification that leads to a non-empty feasible solution. An adaptive minimax filtering algorithm that uses optimal quadratic approximations to the minimax cost function is proposed for adaptive implementation of optimal SMF. The proposed al...

متن کامل

An Optimal Filtering Algorithm for Table Constraints

Filtering algorithms for table constraints are constraint-based, which means that the propagation queue only contains information on the constraints that must be reconsidered. This paper proposes four efficient value-based algorithms for table constraints, meaning that the propagation queue also contains information on the removed values. One of these algorithms (AC5TC-Tr) is proved to have an ...

متن کامل

A Model for an Adaptive University

With the increasing complexity and chaos of extracurricular higher education environments in diverse ecosystems, university adaptation to the environment as a social and activist system has become an inevitable necessity. Therefore, this study aims to analyze the content of articles compiled in the context of the University of Adaptation in internal and external research to present the Adaptive...

متن کامل

Adaptive Chaotic Prediction Algorithm of RBF Neural Network Filtering Model Based on Phase Space Reconstruction

With the analysis of the technology of phase space reconstruction, a modeling and forecasting technique based on the Radial Basis Function (RBF) neural network for chaotic time series is presented in this paper. The predictive model of chaotic time series is established with the adaptive RBF neural networks and the steps of the chaotic learning algorithm with adaptive RBF neural networks are ex...

متن کامل

ذخیره 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: Science China Information Sciences

سال: 2010

ISSN: 1674-733X,1869-1919

DOI: 10.1007/s11432-010-4141-3