prediction of maximum scour depth downstream of bed sills using support vector machines

نویسندگان
چکیده

0

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

Simulation and prediction of scour whole dimensions downstream of siphon overflow using support vector machine and Gene expression programming algorithms

Background and Objectives: The purpose of this study is to simulate and predict the dimensions of the scour cavity downstream of the siphon overflow using the SVM model and compare it with other numerical methods. The use of the SVM algorithm as a meta-heuristic system in simulating complex processes in which the dependent variable is a function of several independent variables has been widely ...

متن کامل

STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES

Establishment of rating curves are often required by the hydrologists for flow estimates in the streams, rivers etc. Measurement of discharge in a river is a time-consuming, expensive, and difficult process and the conventional approach of regression analysis of stage-discharge relation does not provide encouraging results especially during the floods. P

متن کامل

Telomerase Gene Prediction Using Support Vector Machines

Telomerase genes have been said to be of great importance in various aspects of biology. Currently their composition and purpose is a topic of much research. Finding and validating telomerase genes in different species is of great importance and is also a difficult task that consumes many resources. In this research a method for isolating potential telomerase gene regions within a genome is dis...

متن کامل

Prediction of Scour Depth at Bridge Abutments in Cohesive Bed Using Gene Expression Programming

The scour modelling in cohesive beds is relatively more complex than that in sandy beds and thus there is limited number of studies available on local scour at bridge abutments on cohesive sediment. Recently, a good progress has been made in the development of data-driven techniques based on artificial intelligence (AI). It has been reported that AI-based inductive modelling techniques are freq...

متن کامل

A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels

The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...

متن کامل

Effect of Sill Arrangement on Maximum Scour Depth Downstream of Abruptly Enlarged Stilling Basins

Scour downstream (DS) of hydraulic structures (HS) may endanger the safety of the structures if the necessary precuations are not considered during the design stage. Normally, different measures produce different effects on reducing the maximum scour depth DS of HS. One of the important HSs is the abruptly enlarged (or sudden expanding) stilling basins. In this paper, the effects of different a...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
پژوهش های حفاظت آب و خاک

جلد ۲۰، شماره ۶، صفحات ۱۰۷-۱۲۵

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023