Prediction of software modules into fault-prone (FP) and not-fault-prone (NFP) categories using software metrics allows prioritization of testing resources to fault-prone modules for achieving higher reliability growth and cost effectiveness. This paper proposes an Artificial Neural Network (ANN) model with use of Sensitivity Analysis (SA-ANN) and Principal Component Analysis (PCA-ANN) for dime...

Piezometric heads in the core of Sattarkhan earthfill dam in Iran have been analyzed in this paper via Artificial Neural Network (ANN). Single and integrated ANN models were trained and verified using each piezometer’s data, and also the water levels on the up and downstream of the dam. Therefore, in the single ANN modeling a single ANN was developed for each piezometer, whereas in the integrat...

Artificial Neural Networks (ANN) have demonstrated to be increasingly more useful for complex problems difficult to solve with conventional methods. With their learning abilities, they avoid having to develop a mathematical model or acquiring the appropriate knowledge to solve a task. But the difficulty now lies in the ANN design process. A lot of choices must be made to design an ANN, and ther...

In this study, a three–layer artificial neural network (ANN) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. A total of 455 data points were collected from 13 data sources to develop the ANN model. Superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of ...

INTRODUCTION Prenatal alcohol exposure is associated with a wide spectrum of adverse effects known as fetal alcohol spectrum disorder (FASD). Diagnosing an infant who has been exposed to alcohol in utero can be an extremely difficult task since often, the effects of gestational drinking on the fetus may not be clinically evident at birth or shortly thereafter. In less apparent cases of FASD whe...

This paper presents an overview of datapath realizations of the Hardware neural network models which perform massive parallel operations for best results and real time applications. Digital implemented neural models processing element – adder with low power consumption is proposed for real-time multimedia applications. Proposed adder is illustrated in the 2-3-1 tree layer artificial neural netw...

INTRODUCTION Fetal alcohol syndrome (FAS) is a large and rapidly increasing public health problem. The prevalence of FAS in the United States has been reported as 1-3 per 1000 live births and the rate of fetal alcohol spectrum disorders (FASD) as 9.1 per 1000 live births [1]. Prevalence studies completed in the United States have suggested estimates of FAS among chronically alcoholic woman of 2...