A new approach to history matching based on feature selection and optimized least square support vector machine
نویسندگان
چکیده
منابع مشابه
Modeling of Corrosion-Fatigue Crack Growth Rate Based on Least Square Support Vector Machine Technique
Understanding crack growth behavior in engineering components subjected to cyclic fatigue loadings is necessary for design and maintenance purpose. Fatigue crack growth (FCG) rate strongly depends on the applied loading characteristics in a nonlinear manner, and when the mechanical loadings combine with environmental attacks, this dependency will be more complicated. Since, the experimental inv...
متن کاملFeature Selection based Least Square Twin Support Vector Machine for Diagnosis of Heart Disease
It is evident from various researches that disease diagnosis using machine learning methods has been increasing rapidly. In this research work, feature selection based Least Square Twin Support Vector Machine (LSTSVM), which is a machine learning method, is used for diagnosis of heart diseases. In this approach F-score is used to calculate the weight of each feature and then features are select...
متن کاملModeling and design of a diagnostic and screening algorithm based on hybrid feature selection-enabled linear support vector machine classification
Background: In the current study, a hybrid feature selection approach involving filter and wrapper methods is applied to some bioscience databases with various records, attributes and classes; hence, this strategy enjoys the advantages of both methods such as fast execution, generality, and accuracy. The purpose is diagnosing of the disease status and estimating of the patient survival. Method...
متن کاملText classification: A least square support vector machine approach
This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles according to different predetermined categories. The system’s potential is demonstrated with a corpus of 91,229 words from University of Denver’s Penrose Library catalogue. The classification accuracy of the proposed LS-SVM based system is found to be over 99.9%. The fin...
متن کاملHybrid Simulation of a Frame Equipped with MR Damper by Utilizing Least Square Support Vector Machine
In hybrid simulation, the structure is divided into numerical and physical substructures to achieve more accurate responses in comparison to a full computational analysis. As a consequence of the lack of test facilities and actuators, and the budget limitation, only a few substructures can be modeled experimentally, whereas the others have to be modeled numerically. In this paper, a new hybrid ...
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 Geophysics and Engineering
سال: 2018
ISSN: 1742-2132,1742-2140
DOI: 10.1088/1742-2140/aad1c8