due to urbanization and population increase, need for metro tunnels, has been considerably increased in urban areas. estimating the surface settlement caused by tunnel excavation is an important task especially where the tunnels are excavated in urban areas or beneath important structures. many models have been established for this purpose by extracting the relationship between the settlement a...

Water resource problems currently are much more important in proper planning especially for arid regions, such as Gansu in China. For agricultural and industrial activities, prediction of groundwater status is critical. As a main branch of neural network, shallow artificial neural network models have been deployed in prediction areas such as groundwater and rainfall since late 1980s. In this pa...

One of the most undesirable consequences induced by blasting in open-pit mines and civil activities is flyrock. Furthermore, production oversize boulders creates many problems for continuation work usually imposes additional costs on project. In this way, breakage associated with throwing small fragments particles at high speed, which can lead to serious risks human resources infrastructures. H...

The mortality rate of older patients with intertrochanteric fractures has been increasing with the aging of populations in China. The purpose of this study was: 1) to develop an artificial neural network (ANN) using clinical information to predict the 1-year mortality of elderly patients with intertrochanteric fractures, and 2) to compare the ANN's predictive ability with that of logistic regre...

nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

An artificial neural network (ANN) model was employed to predict the soil cohesion and soil internal friction angle. The soil samples were collected from different cultivated sites in seven regions in Saudi Arabia. Direct shear box method was used to determine soil cohesion and soil internal friction angle. The input factors to ANN model were soil dry density, soil moisture content and soil tex...

In this paper an ANN model is developed to forecast the monthly inflation of Bangladesh as a function of its own previous value. The model selects a feed-forward backpropagation ANN with two inputs, one hidden layer with five hidden neurons and one output as the optimum network. The model is tested with actual time series data of inflation in case of Bangladesh and forecast evaluation criteria....

Renewable Energy Sources (RES) are nowadays growing rapidly at the distribution level and it employs power electronic converters to ensure reliable operation to the customers. Among the RES, wind energy is now firmly established technology for electricity generation. This paper proposes a conventional PI controller and Artificial Neural Network (ANN) controller to GSC of PMSG, which can obtain ...