TIME DEPENDENT EVOLUTIONARY FUZZY SUPPORT VECTOR MACHINE INFERENCE MODEL FOR PREDICTING DIAPHRAGM WALL DEFLECTION
نویسندگان
چکیده
منابع مشابه
Prediction of Diaphragm Wall Deflection in Deep Excavations Using Evolutionary Support Vector Machine Inference Model (ESIM)
Problems in deep excavations are full of uncertain, vague, and incomplete information. In most instances, successfully solving such problems depends on experts' knowledge and experience. The primary object of this research was to propose an “Evolutionary Support Vector Machine Inference Model (ESIM)” to predict wall deformation in deep excavation in Taipei Basin. ESIM is developed based on a hy...
متن کاملSupport Vector Machine for predicting -turn types
Tight turns play an important role in globular proteins from both the structural and functional points of view. Of tight turns, -turns and -turns have been extensively studied, but -turns were little investigated. Recently, a systematic search for -turns classified -turns into nine different types according to their backbone trajectory features. In this paper, Support Vector Machines (SVMs), a ...
متن کاملApplication of Support Vector Machine Regression for Predicting Critical Responses of Flexible Pavements
This paper aims to assess the application of Support Vector Machine (SVM) regression in order to analysis flexible pavements. To this end, 10000 Four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...
متن کاملForecasting enterprise resource planning software effort using evolutionary support vector machine inference model
Despite significant advances in procedures that facilitate project management, the continued reliance of software managers on guesswork and subjective judgment causes frequent project time overruns. This study uses an Evolutionary Support Vector Machine Inference Model (ESIM) for efficiently and accurately estimating the person-hour of ERP system development projects. The proposed ESIM is a hyb...
متن کاملDynamic Prediction of Project Success Using Evolutionary Support Vector Machine Inference Model
The purpose of construction management is to successfully accomplish projects, which requires a continuous monitoring and control procedure. To dynamically predict project success, this research proposes an Evolutionary Support Vector Machine Inference Model (ESIM). ESIM is developed based on a hybrid approach that fuses support vector machine (SVM) and fast messy genetic algorithm (fmGA). SVM ...
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: Neural Network World
سال: 2014
ISSN: 1210-0552,2336-4335
DOI: 10.14311/nnw.2014.24.012