prediction from an artificial neural network model. The design formula ... simulate the behaviour of the human brain and nervous system. The ANN modelling ...

Abstract: Traditional methods of settlement prediction of shallow foundations on granular soils are far from accurate and consistent. This can be attributed to the ...

traditional methods of settlement prediction, are based on deterministic approaches that ...... Conference on Application of Statistics and Probability in Civil.

Volume 3– Issue 7, 473 - 478, 2014, ISSN: 2319–8656 www.ijcat.com ... Abstract: This paper presents a Flood Prediction Model (FPM) to predict flood in rivers using Artificial Neural Network (ANN) .... [15]. Its highest water level is 20.42 m and dang

Prediction of Dissolved Oxygen Using Artificial Neural Network. Sirilak Areerachakul 1+. , Prem Junsawang 2 and Auttapon Pomsathit 1. 1 Faculty of Science ...

The artificial neural networks (ANN) technologies provide on-line capability to analyze ... Keywords: Artificial Neural Network, Mean Square Error, Correlation ...

Shear Wave Velocity, Petrophysical Logs, Neural Networks, Multiple Regression, ..... Scientific Research Publishing (SCIRP) is one of the largest Open Access ...

Dec 22, 2016 - GM(1,1) is the most frequently used grey forecasting model, but its ... Keywords: electricity consumption; neural network; grey forecasting; GM(1 ...

can provide accurate prediction of bus travel times to give real-time information at a given ... traffic management, etc. ...... MATLAB Version 6.1 Software. Patnaik ...

Volume 22– No.2, May 2011. 42 ... Share Market is an untidy place for predicting since there ... this paper is to use ANNs to forecast Bangladesh Stock.