A symbolic data-driven technique based on evolutionary polynomial regression
نویسندگان
چکیده
منابع مشابه
A symbolic data-driven technique based on evolutionary polynomial regression
Orazio Giustolisi (corresponding author) Faculty of Engineering, Department of Civil and Environmental Engineering, Technical University of Bari, via Turismo 8, Q. re Paolo VI, 74100, Taranto, Italy Tel: +39 080 596 4214 E-mail: [email protected] Dragan A. Savic Centre for Water Systems, Department of Engineering, School of Engineering, Computer Science and Mathematics, University of Exete...
متن کاملIris Data Classification By Means Of Pseudo Neural Networks Based On Evolutionary Symbolic Regression
This research deals with a novel approach to classification. Iris data was used for the experiments. Classical artificial neural networks, where a relation between inputs and outputs is based on the mathematical transfer functions and optimized numerical weights, was an inspiration for this work. Artificial neural networks need to optimize weights, but the structure and transfer functions are u...
متن کاملNonparametric Regression Estimation under Kernel Polynomial Model for Unstructured Data
The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...
متن کاملData driven symbolic pr
In this paper a data-driven approach in prediction of word level prosody breaks will be presented. A semi-automatic approach of symbolic prosody raw text annotation will be introduced together with a module for prediction of annotated tags for Slovenian language. The prediction module is based on an automatic learning technique, which depends on the construction of a large corpus labeled approp...
متن کاملA Review on the Hydrodynamic Characteristics of the SPP Concerning to the Available Experimental Data and Evaluating Regression Polynomial Functions
Surface-piercing propellers have been widely used in light and high-speed vessels because of their superior performance. One of the major steps in propeller selection algorithm is the determination of thrust as well as torque hydrodynamic coefficients. For the purpose of simplifying design and selection procedure, some relations are presented for determining hydrodynamic coefficients in some st...
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: Journal of Hydroinformatics
سال: 2006
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2006.020b