Automatic Generation of Fuzzy Models By using Iteration through Training Data
نویسندگان
چکیده
منابع مشابه
Automatic Generation of Fuzzy Models by Genetic Algorithms
Genetic Algorithms (GA’s) and others evolutionary optimization methods to design fuzzy models from data have received much attention in recent literature. This paper presents a methodology to simultaneous design of membership functions and rules sets for fuzzy logic models. The validity of the proposed identification method has been demonstrated by simulation example of inverted pendulum. Copyr...
متن کاملInterpolation of fuzzy data by using flat end fuzzy splines
In this paper, a new set of spline functions called ``Flat End Fuzzy Spline" is defined to interpolate given fuzzy data. Some important theorems on these splines together with their existence and uniqueness properties are discussed. Then numerical examples are presented to illustrate the differences between of using our spline and other interpolations that have been studied before.
متن کاملautomatic verification of authentication protocols using genetic programming
implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
15 صفحه اولAutomatic Calibration of HEC-HMS Model Using Multi-Objective Fuzzy Optimal Models
Estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. This study aimed to use the particle swarm optimization (PSO) algorithm for automatic calibration of the HEC-HMS hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...
متن کاملTraining Automatic Transliteration Models on DBPedia Data
Our goal is to facilitate named entity recognition in Bulgarian texts by extending the coverage of DBpedia (http://www.dbpedia.org/) for Bulgarian. For this task we have trained translation Moses models to transliterate foreign names to Bulgarian. The training sets were obtained by extracting the names of all people, places and organizations from DBpedia and its extension Airpedia (http://www. ...
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: International Journal of Intelligent Computing Research
سال: 2016
ISSN: 2042-4655
DOI: 10.20533/ijicr.2042.4655.2016.0092